13 skills found
kr-colab / Discoaldiscoal is a coalescent simulation program capable of simulating models with recombination, selective sweeps, and demographic changes including population splits, admixture events, and ancient samples
wengensheng / ForestESSForestESS simulates plant demographic processes (e.g., growth, reproduction, and mortality), competition for light and soil resources, and soil biogeochemical processes. The codes are from the version of LM3-PPA used to simulate the forest successional dynamics in the paper of Weng, E., Farrior, CE, Dybzinski, R, and Pacala, SW, et al. 2016 Global Change Biology.
benpoulter / LPJ Wsl V2.0Dynamic global vegetation model with land use and land cover change and forest demography.
pnguenda / Pandas Challenge# Pandas Homework - Pandas, Pandas, Pandas ## Background The data dive continues! Now, it's time to take what you've learned about Python Pandas and apply it to new situations. For this assignment, you'll need to complete **one of two** (not both) Data Challenges. Once again, which challenge you take on is your choice. Just be sure to give it your all -- as the skills you hone will become powerful tools in your data analytics tool belt. ### Before You Begin 1. Create a new repository for this project called `pandas-challenge`. **Do not add this homework to an existing repository**. 2. Clone the new repository to your computer. 3. Inside your local git repository, create a directory for the Pandas Challenge you choose. Use folder names corresponding to the challenges: **HeroesOfPymoli** or **PyCitySchools**. 4. Add your Jupyter notebook to this folder. This will be the main script to run for analysis. 5. Push the above changes to GitHub or GitLab. ## Option 1: Heroes of Pymoli  Congratulations! After a lot of hard work in the data munging mines, you've landed a job as Lead Analyst for an independent gaming company. You've been assigned the task of analyzing the data for their most recent fantasy game Heroes of Pymoli. Like many others in its genre, the game is free-to-play, but players are encouraged to purchase optional items that enhance their playing experience. As a first task, the company would like you to generate a report that breaks down the game's purchasing data into meaningful insights. Your final report should include each of the following: ### Player Count * Total Number of Players ### Purchasing Analysis (Total) * Number of Unique Items * Average Purchase Price * Total Number of Purchases * Total Revenue ### Gender Demographics * Percentage and Count of Male Players * Percentage and Count of Female Players * Percentage and Count of Other / Non-Disclosed ### Purchasing Analysis (Gender) * The below each broken by gender * Purchase Count * Average Purchase Price * Total Purchase Value * Average Purchase Total per Person by Gender ### Age Demographics * The below each broken into bins of 4 years (i.e. <10, 10-14, 15-19, etc.) * Purchase Count * Average Purchase Price * Total Purchase Value * Average Purchase Total per Person by Age Group ### Top Spenders * Identify the the top 5 spenders in the game by total purchase value, then list (in a table): * SN * Purchase Count * Average Purchase Price * Total Purchase Value ### Most Popular Items * Identify the 5 most popular items by purchase count, then list (in a table): * Item ID * Item Name * Purchase Count * Item Price * Total Purchase Value ### Most Profitable Items * Identify the 5 most profitable items by total purchase value, then list (in a table): * Item ID * Item Name * Purchase Count * Item Price * Total Purchase Value As final considerations: * You must use the Pandas Library and the Jupyter Notebook. * You must submit a link to your Jupyter Notebook with the viewable Data Frames. * You must include a written description of three observable trends based on the data. * See [Example Solution](HeroesOfPymoli/HeroesOfPymoli_starter.ipynb) for a reference on expected format. ## Option 2: PyCitySchools  Well done! Having spent years analyzing financial records for big banks, you've finally scratched your idealistic itch and joined the education sector. In your latest role, you've become the Chief Data Scientist for your city's school district. In this capacity, you'll be helping the school board and mayor make strategic decisions regarding future school budgets and priorities. As a first task, you've been asked to analyze the district-wide standardized test results. You'll be given access to every student's math and reading scores, as well as various information on the schools they attend. Your responsibility is to aggregate the data to and showcase obvious trends in school performance. Your final report should include each of the following: ### District Summary * Create a high level snapshot (in table form) of the district's key metrics, including: * Total Schools * Total Students * Total Budget * Average Math Score * Average Reading Score * % Passing Math (The percentage of students that passed math.) * % Passing Reading (The percentage of students that passed reading.) * % Overall Passing (The percentage of students that passed math **and** reading.) ### School Summary * Create an overview table that summarizes key metrics about each school, including: * School Name * School Type * Total Students * Total School Budget * Per Student Budget * Average Math Score * Average Reading Score * % Passing Math (The percentage of students that passed math.) * % Passing Reading (The percentage of students that passed reading.) * % Overall Passing (The percentage of students that passed math **and** reading.) ### Top Performing Schools (By % Overall Passing) * Create a table that highlights the top 5 performing schools based on % Overall Passing. Include: * School Name * School Type * Total Students * Total School Budget * Per Student Budget * Average Math Score * Average Reading Score * % Passing Math (The percentage of students that passed math.) * % Passing Reading (The percentage of students that passed reading.) * % Overall Passing (The percentage of students that passed math **and** reading.) ### Bottom Performing Schools (By % Overall Passing) * Create a table that highlights the bottom 5 performing schools based on % Overall Passing. Include all of the same metrics as above. ### Math Scores by Grade\*\* * Create a table that lists the average Math Score for students of each grade level (9th, 10th, 11th, 12th) at each school. ### Reading Scores by Grade * Create a table that lists the average Reading Score for students of each grade level (9th, 10th, 11th, 12th) at each school. ### Scores by School Spending * Create a table that breaks down school performances based on average Spending Ranges (Per Student). Use 4 reasonable bins to group school spending. Include in the table each of the following: * Average Math Score * Average Reading Score * % Passing Math (The percentage of students that passed math.) * % Passing Reading (The percentage of students that passed reading.) * % Overall Passing (The percentage of students that passed math **and** reading.) ### Scores by School Size * Repeat the above breakdown, but this time group schools based on a reasonable approximation of school size (Small, Medium, Large). ### Scores by School Type * Repeat the above breakdown, but this time group schools based on school type (Charter vs. District). As final considerations: * Use the pandas library and Jupyter Notebook. * You must submit a link to your Jupyter Notebook with the viewable Data Frames. * You must include a written description of at least two observable trends based on the data. * See [Example Solution](PyCitySchools/PyCitySchools_starter.ipynb) for a reference on the expected format. ## Hints and Considerations * These are challenging activities for a number of reasons. For one, these activities will require you to analyze thousands of records. Hacking through the data to look for obvious trends in Excel is just not a feasible option. The size of the data may seem daunting, but pandas will allow you to efficiently parse through it. * Second, these activities will also challenge you by requiring you to learn on your feet. Don't fool yourself into thinking: "I need to study pandas more closely before diving in." Get the basic gist of the library and then _immediately_ get to work. When facing a daunting task, it's easy to think: "I'm just not ready to tackle it yet." But that's the surest way to never succeed. Learning to program requires one to constantly tinker, experiment, and learn on the fly. You are doing exactly the _right_ thing, if you find yourself constantly practicing Google-Fu and diving into documentation. There is just no way (or reason) to try and memorize it all. Online references are available for you to use when you need them. So use them! * Take each of these tasks one at a time. Begin your work, answering the basic questions: "How do I import the data?" "How do I convert the data into a DataFrame?" "How do I build the first table?" Don't get intimidated by the number of asks. Many of them are repetitive in nature with just a few tweaks. Be persistent and creative! * Expect these exercises to take time! Don't get discouraged if you find yourself spending hours initially with little progress. Force yourself to deal with the discomfort of not knowing and forge ahead. Consider these hours an investment in your future! * As always, feel encouraged to work in groups and get help from your TAs and Instructor. Just remember, true success comes from mastery and _not_ a completed homework assignment. So challenge yourself to truly succeed! ### Copyright Trilogy Education Services © 2019. All Rights Reserved.
anajuarezar / Suicide AnalysisWe will analyze suicide rates relating socio-demographic factors, political factors, and economical factors such as: unemployment, birthrate, alcohol consumption, population, global terrorism, climate change and more by using data exploration and machine learning
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ZulqarnainZilli / 9 Email Marketing Tips For Content Marketers9 Email Marketing Tips For Content Marketers Even “agnostics” regarding email marketing can't hash out the following evidence - the average ROI from this promotional practice is close to 3,800%. Measureless opportunities to scale up and relative cheapness, compared to other reaching-out channels, are the two reasons why the email marketing is fair-haired by businesses. However, this is not about the price and physical extent alone. The chief advantage is a better alignment of communication with customers. If you hope a certain content strategy brings desirable results, overlooking the quality of mailing messages will be a sorry pitfall. Always keep in mind that newsletters, welcome, retention, and other emails are not just a brand's facade - but a powerful tool for generating conversions. By joining sides of email and content strategies, you can come up with synergy from both. In this guide, we’ll cover a few recommendations for content marketers on how to write email messages that work. Tips for email marketing Segment your list Split the batch of email recipients into smaller groups based on chosen criteria, and mail distinct relevant messages - for each. You can use recipients' GEO, demographic characteristics, or purchase history to distinguish homogeneous clusters and proceed with the content planning. Segmentation is the basic premise for personalization, and if you still doubt why bothering about the latter - here are just a few numbers we took from Instapage: 52% of customers claim they do care if the message was tailor-made or not 82% of marketers say that mail personalization increases the open ratio custom emails have 41% more unique clicks than mass-produced ones. To avoid a fragmented approach, use data from CRMs, website analytics tools, and other sources to define segments. Concerning phrasings, a good idea is to create Buyer personas profiles. Thus, you'll be able to choose the appropriate message length and wording. Say, design a newsletter to promote paid subscription for an email validator service. You've decided to distinguish corporate clients based on their company size and determined the following groups: #1 - B2Bs and #2 - sole entrepreneurs. Possible messages for the two: #1. Our "XXL" plan is perfect for agencies and enterprises. One can add unlimited users and conduct up to 100,000 checks per month. #2. With our "S" you get 1,000 credits and 5,000 unique recipients - for only $33 per month. Plus - a 7-days free trial. Use interactive content The best content marketers know that interactive content came into vogue a long time ago. As to emails, here are the most common examples: CSS animated buttons If you include CTAs buttons (that we hope you do) - liven them up a bit. Add an animated hover effect, so that every time a recipient puts a cursor on a button, it changes shape, shade, color, or text. “Add hover to emphasise objects”, source This shouldn’t necessarily be something dramatic - add tiny accents that will yet grab the user's attention. starring “Add a star rating component to engage readers with content”, source Including ranking or reviewing widgets in the email body is one of the most working ways to engage the reader with the message. Ask recipients to assess your product or service with stars. Add the link to Google Forms if you want to receive an extended opinion on overall customer satisfaction. pictures' rollovers “Use animated images to describe goods better”, source The effect is eagerly used by the ones who promote online stores. Using The rollover allows to show goods from different angles or even play with recipients, if relevant. Take into account that this feature only works on desktops - mobile mail users will see the very first picture only. images carousel “Add pieces of text directly on images”, source If you want to enhance goods cards with descriptive content, say - price and shipping details, use a carousel instead of a rollover. As so, you can add more info pictures to the email body and, hopefully, convert more recipients into customers. a countdown “Countdowns work well for limited in time offers”, source Again, this type of interactive content fits the online shopping niche. Animated clocks amplify urgency and theoretically increase conversions. But it's important to stay extremely careful and not to sound desperate - otherwise, the newsletter will end up in the recipient's "Spam". Improve design The attractiveness of an email is something granted on certain terms, indeed. Not all emails need to be flashy or include expensive designs. However, there are some prevailing common trends in the matter. By following them, you seem to show the recipient that your company is moving in step with the times, and not stuck in the 2000s. Here's the shortlist from the TOP email design trends list that a 99designs provides - as of 2021: magazine-styled “Make newsletters to look a bit editorial”, source More and more newsletters tend to look like a centerfold from good old printed media. With a strict following to the "Less is more" principle - clear fonts, short phrases, HD-quality images with a few objects on them, and short CTAs. hand-made illustrations “Unique pictures create a distinct flavour of your brand”, source Tailored icons or sketchy images - whatever fits your mailing purpose, just make sure it's not too bright, contrast, or overloaded with details. Give preference to clean colors. skeuomorphic objects This is when a design resembles a real object. To see an example - just open a reader App on your smartphone. “A skeuomorphic bookshelf”, source HD photographies “If you operate in the luxury segment, do not skimp on email visuals”, source These are expensive content, but if you work in fashion or other chick industries - it may be worth the effort. animated content Yeap, we've covered this in a previous tip. single scroll “Looks especially good on smartphones”, source Place the entire email content, including buttons, on the endless-looking long frame. Focus on conversions Stay focused on what's your mailing purpose. Don't forget that everybody expects to see a good ROI from email actions at the end of the reporting period. Craft effective CTAs - perceive these not as a sole button with a "Download now" text or so, but as an entire sense of a message that you write. To create a captivating CTA copy, adhere to the below advices: include win-win propositions Even though you’re not providing a customer with a discount or cash refund at the moment, your proposition may include a non-monetary incentive. New arrivals, selection of the latest news, free copies, advice from experts - the only rule here is to offer what’ll hold in high esteem. trigger on emotions Don't long-windedly list benefits. Instead, simulate a life situation and show how your product or service can help. use several CTAs throughout the email Email body may be viewed in several scrolls, especially when via small mobile devices’ screens. If you add a call to action at the beginning of the message, a mere number of users will get back to it after finishing reading the content. Thus, you may lose potential conversion. Include several buttons throughout the email body, but don’t sound repeatedly - change calls’ forms and wording. Encourage readers to reply Driving recipients to reply is challenging yet able to be done. First, choose the proper writing tone. According to an extensive study of emails that didn’t get a response, the most preferable is a 3rd-grade reading level. “Too elementary or too proficient tone may scare away readers”, source Of course, you must apply this recommendation with an eye on the recipient. If you mail to a professor or a government agency, a “3rd-grade” rule isn’t applicable. But all else being equal - simplify the lexicon to the level a schoolchild can understand it. Another trick is to sound overall happy. Emails that are enhanced with positive emotions get 10-15% more replies, on average than neutral ones. The best manner is to choose a slightly warm tone. Exaggerated excitement may look weird and even suspicious, especially when reaching out to business partners. And don’t forget about courtesy. A rare person will respond if you address him or her with a hair-raising “To whom it may concern” phrase. Make it personal Personification shouldn’t be confused with personalization. The second is rather about mailing fitting content from a commercial perspective, while the first term - about addressing the recipient as a one-off personality. Personal emails start with the recipient’s name - and no other way. They include references to the user's interests or past actions. For example, if your tourist agency’s client is interested in island vacations - you shall approach him or her with respective offers. They also shall contain personalized promotions, if any. The best way to expand this approach on hundreds or thousands of recipients is to launch trigger-based email campaigns. Create delivery scenarios for different segments or stages of a sales pipeline. Then prepare a fitting sequence of relevant content - for every single scenario. To give a human face to mailing, one can practice greetings, as well. Birthdays, state holidays, anniversaries, a new status in the loyalty system - there are a lot of examples of what one may congratulate the customer with. Keep your emails out of spam folders It is better not to launch mailing at all than to use an untrustworthy emails’ database. The risks are much higher than a slew of undelivered messages - from harming a sender's reputation to being banned by mailing systems. So it's better to stay proactive: tidy away broken, misspelled, temporary, or other worrisome emails from the database - either manually or with the help of software collect a valid email address only - through email finders avoid spam-trigger words establish a double opt-in validation set the correct mailing frequency. Make sure your emails look clean and crisp Newsletters shall afterall bring revenues - whether you want it or not. But in a bid of quantity, don’t lose the overall content integrity and sense: a subject line, pre-header, header, email body, and calls shall be consistent with one another the copy must be of the proper size; although the length depends on many factors, stick to an “ideal” interval - 50 to 125 words if can, don’t attach too many files or links to external websites - mailing filters are suspicious to these adapt the layout to fit smaller screens - nothing looks worse than broken email elements when you open it on mobile. Wrapping up It doesn't make much difference whether you create mailing content for personal or business purposes - these email marketing tips will serve both. No strains here - the recipient’s interest should be at your forefront. If you can hook him or her with the content by using tricks we've covered, you’ll never fail with enough conversions.
ammodramus / MopeInfer the dynamics of mitochondrial heteroplasmy during different life stages using population genetics and phylogenetics
RahulRajGiri15 / Mentoring SIH HackathonProject Concept: Mentoring - The best way Mentoring during the Career/Education is a vital aspect for success of a candidate and this can achieve amazingly positive changes in the life of a mentee. Today , India is known due to its demographic advantage and career directions are infinite.
Tradewindfinance2 / What Lessons Has COVID 19 Taught Buyers And SuppliersThe onset of COVID-19 caught many business owners off-guard. Raw material shortages, delivery challenges, and securing supply chain financing were some of the difficulties companies had to face. Ultimately, buyers and suppliers learned that to overcome these hurdles, they need to work collaboratively. By working with the right supply chain finance company, international companies can support collaboration and streamline operations for an entire supply chain, resolving immediate cash flow challenges that could drastically impact a business. This article discusses the lessons buyers and sellers learned from COVID-19, including the benefits of utilizing trade finance, which includes services like non-recourse financing, to improve liquidity during disruption. LESSON 1: KNOW YOUR SUPPLY CHAIN While supply chain disruptions can happen to large or small companies, the most critical factor is how a company handles these circumstances, regardless of the size of their business. By identifying weaknesses in the supply chain, buyers can adapt their business contingency plans accordingly and use methods to monitor and mitigate potential risks. Suppliers should also have contingency plans in place. Many businesses are leveraging real-time analytics to track changes that could alter suppliers’ risk profiles. A company’s suppliers are an essential asset, and investing in supply chain efficiency enhancements can improve vital decision outcomes. Buyers can begin by mapping out supply chains and identifying crucial subcontractors. Additionally, companies need to know which risk factors are present in their industries. Cyber-threats, natural disasters, warehouse fires, legislative changes, logistics interruptions, and demographic challenges can all come into play. Keeping a supply chain resilient during disruptions requires preparation and established best practices across all suppliers. LESSON 2: EMBRACE TECHNOLOGY AND TRADE FINANCING Buyers and suppliers alike benefit from Third-Party Risk Management software and other technology that enables informed decision-making during business interruptions. By integrating real-time risk management platforms into the operational infrastructure, the supply chain ecosystem becomes more transparent, supporting faster and more appropriate responses during a crisis. Documentation digitization is another technological advancement that facilitates smoother trade transactions amid disruption. In addition, trade finance services, which include non-recourse factoring, can increase trade visibility and mitigate risk through credit monitoring and vetting protocols, which is crucial when supply chains are in need of added security. By ensuring compliance with local regulations, these services can also reduce operational expenses and allow for efficient cross-border shipments. LESSON 3: ADOPT A FLEXIBLE APPROACH Traditional distribution networks fail to emphasize the importance of collaboration and fostering long-term buyer-seller relationships. Businesses that communicate openly with the supply chain members about trade financing possibilities can optimize cash flow and operations. A strategic allocation of working capital enables buyers and sellers to respond to emergencies with greater flexibility. Today’s global trade market is evolving rapidly, and conditions change frequently. The need to adopt flexible and digital export finance solutions has been present for years. However, it was not until COVID-19 exposed the infrastructure’s inability to function during a crisis that change became inevitable. In a post-pandemic economy, trade disputes, duties, quotas, and the introduction of new regulatory measures will require the same level of flexibility to keep supply chains robust. LESSON 4: PROMOTE SUPPLY CHAIN TRANSPARENCY Supply chain transparency is another essential component of achieving business resiliency and involves combining fragmented supplier systems into a single collaborative infrastructure. The ability to share data in real-time keeps all parties informed and up-to-date on changes that could otherwise require multiple communication efforts. Visibility into the supply chain can minimize production delays by detecting issues before they have the chance to impact vital elements of production or distribution. For example, when a disruption occurs, suppliers could respond by immediately ordering components from back-up subcontractors. Increasing transparency in the supply chain ensures buyers can make more responsible sourcing decisions. Meanwhile, multitier supply chains can resolve additional concerns regarding sustainability, business continuity, and regulatory compliance. Instead of only examining the first tier of the supply chain, procurement strategies should focus on the supplier network as a whole. FINAL THOUGHTS Connectivity, transparency, technology, and flexibility will empower buyers and suppliers to overcome future disruptions and avoid costly complications. The resiliency-building lessons learned from the pandemic have taught us that establishing collaborative solutions can drive better trade outcomes. With an international trade finance company, buyers and suppliers can align their goals and secure financing to address their cash flow obstacles. To know more: https://www.tradewindfinance.com/news-resources/what-lessons-has-covid-19-taught-buyers-and-suppliers
prateekpr / HEART DISEASE ANALYSISLOGISTIC REGRESSION - HEART DISEASE PREDICTION Introduction World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases. The early prognosis of cardiovascular diseases can aid in making decisions on lifestyle changes in high risk patients and in turn reduce the complications. This research intends to pinpoint the most relevant/risk factors of heart disease as well as predict the overall risk using logistic regression Data Preparation Source The dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal is to predict whether the patient has 10-year risk of future coronary heart disease (CHD).The dataset provides the patients’ information. It includes over 4,000 records and 15 attributes. Variables Each attribute is a potential risk factor. There are both demographic, behavioral and medical risk factors. Demographic: • Sex: male or female(Nominal) • Age: Age of the patient;(Continuous - Although the recorded ages have been truncated to whole numbers, the concept of age is continuous) Behavioral • Current Smoker: whether or not the patient is a current smoker (Nominal) • Cigs Per Day: the number of cigarettes that the person smoked on average in one day.(can be considered continuous as one can have any number of cigarettes, even half a cigarette.) Medical( history) • BP Meds: whether or not the patient was on blood pressure medication (Nominal) • Prevalent Stroke: whether or not the patient had previously had a stroke (Nominal) • Prevalent Hyp: whether or not the patient was hypertensive (Nominal) • Diabetes: whether or not the patient had diabetes (Nominal) Medical(current) • Tot Chol: total cholesterol level (Continuous) • Sys BP: systolic blood pressure (Continuous) • Dia BP: diastolic blood pressure (Continuous) • BMI: Body Mass Index (Continuous) • Heart Rate: heart rate (Continuous - In medical research, variables such as heart rate though in fact discrete, yet are considered continuous because of large number of possible values.) • Glucose: glucose level (Continuous) Predict variable (desired target) • 10 year risk of coronary heart disease CHD (binary: “1”, means “Yes”, “0” means “No”) Logistic Regression Logistic regression is a type of regression analysis in statistics used for prediction of outcome of a categorical dependent variable from a set of predictor or independent variables. In logistic regression the dependent variable is always binary. Logistic regression is mainly used to for prediction and also calculating the probability of success. The results above show some of the attributes with P value higher than the preferred alpha(5%) and thereby showing low statistically significant relationship with the probability of heart disease. Backward elimination approach is used here to remove those attributes with highest P-value one at a time followed by running the regression repeatedly until all attributes have P Values less than 0.05. Feature Selection: Backward elimination (P-value approach) Logistic regression equation P=eβ0+β1X1/1+eβ0+β1X1P=eβ0+β1X1/1+eβ0+β1X1 When all features plugged in: logit(p)=log(p/(1−p))=β0+β1∗Sexmale+β2∗age+β3∗cigsPerDay+β4∗totChol+β5∗sysBP+β6∗glucoselogit(p)=log(p/(1−p))=β0+β1∗Sexmale+β2∗age+β3∗cigsPerDay+β4∗totChol+β5∗sysBP+β6∗glucose Interpreting the results: Odds Ratio, Confidence Intervals and P-values • This fitted model shows that, holding all other features constant, the odds of getting diagnosed with heart disease for males (sex_male = 1)over that of females (sex_male = 0) is exp(0.5815) = 1.788687. In terms of percent change, we can say that the odds for males are 78.8% higher than the odds for females. • The coefficient for age says that, holding all others constant, we will see 7% increase in the odds of getting diagnosed with CDH for a one year increase in age since exp(0.0655) = 1.067644. • Similarly , with every extra cigarette one smokes thers is a 2% increase in the odds of CDH. • For Total cholesterol level and glucose level there is no significant change. • There is a 1.7% increase in odds for every unit increase in systolic Blood Pressure. Model Evaluation - Statistics From the above statistics it is clear that the model is highly specific than sensitive. The negative values are predicted more accurately than the positives. Predicted probabilities of 0 (No Coronary Heart Disease) and 1 ( Coronary Heart Disease: Yes) for the test data with a default classification threshold of 0.5 lower the threshold Since the model is predicting Heart disease too many type II errors is not advisable. A False Negative ( ignoring the probability of disease when there actually is one) is more dangerous than a False Positive in this case. Hence in order to increase the sensitivity, threshold can be lowered. Conclusions • All attributes selected after the elimination process show P-values lower than 5% and thereby suggesting significant role in the Heart disease prediction. • Men seem to be more susceptible to heart disease than women. Increase in age, number of cigarettes smoked per day and systolic Blood Pressure also show increasing odds of having heart disease • Total cholesterol shows no significant change in the odds of CHD. This could be due to the presence of 'good cholesterol(HDL) in the total cholesterol reading. Glucose too causes a very negligible change in odds (0.2%) • The model predicted with 0.88 accuracy. The model is more specific than sensitive. Overall model could be improved with more data
shbnq422 / Cvبسم الله الرحمن الرحيم C.V. NAME: SHA'BAN YOUSEF MOHAMMAD ELQASASS TELE PHONE NO. : 0799455189 NATIONALITY: JORDANIAN ADDRESS: JORDAN-AMMAN E-MAIL: SHBNQ422@YAHOO.COM WWW.SHAABANALQASSAS.COM CERTIFICATES: • HIGHER DIPLOMA IN INFORMATION TECHNOLOGY ( THE UNIVERSITY OF JORDAN) • B.CS IN CHEMISTRY AND COMPUTER FROM YARMOUK UNIVERSITY JORDAN • MCAD.NET (MICROSOFT CERTIFIED APPLICATION DEVELOPER 2003) • ADO.NET; ASP.NET ; MVC :LINQ :VB.NET : C# • MS SQL SERVER DATABASE 2005-2008-2012-2014 • ACCESSING DATA WITH MICROSOFT .NET FRAMEWORK 4 CERTIFICATE -MICROSOFT • JOOMLA WEBSITES DEVELOPER • PHP; MYSQL DATABASE; • MICROSOFT CERTIFIED TECHNOLOGY SPECIALIST (MCTS 2013) • CERTIFICATE DEVELOPING DATA ACCESS SOLUTIONS- MICROSOFT • CERTIFICATE DEVELOPING WEB APPLICATIONS – MICROSOFT • CERTIFICATE ADMIN TEAM FOUNDATION SERVER – MICROSOFT • CERTIFICATE DEVELOPING SILVERLIGHT – MICROSOFT • OFFICIAL TRANING IN ARCGIS 10.1 (I) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( II) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( III) performing analysis – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( BUILDING GEODATABASE) – BY ESRI • OFFICIAL TRANING IN IMPLEMENTING VERSIONED WORKFLOWS IN A MULTIUSER GEODATABASE – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( BUILDING WEB APPLICATION USING THE ARCGIS API ) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 ( INTRODUCTION TO ARCGIS SERVER) – BY ESRI • OFFICIAL TRANING IN ARCGIS 10.1 (CONFIGURING & MANAGING THE MULTIUSER GEODATABASE (SDE)) – BY ESRI • CERTIFICATE MAINTAINING MICROSOFT SQL SERVER DATABASE-MICROSOFT • CERTIFICATE IMPLEMENTING MICROSOFT SQL SERVER DATABASE REPORTING SERVICES- MICROSOFT • CERTIFICATE SHAREPOINT SERVER ADMINISTRATION- MICROSOFT • CERTIFICATE SHAREPOINT SERVER DEVELOPMENT- MICROSOFT • BUSINESS INTELLIGENCE TOOLS :DATA ANALYSIS SERVICES, DATA TRANSFORMATION SERVICES (DTS), DATA MIGRATION SERVICES, ETL (EXTRACT, TRANSFORM, AND LOAD) SERVICES, • ONLINE ANALYTICAL PROCESSING (OLAP) AND DATA-MINING TOOLS • CERTIFICATE WRITING QUERIES USING MICROSOFT SQL SERVER TRANSACT SQL –MICROSOFT • CERTIFICATE IMPLEMENTING AND MAINTAINING MICROSOFT SQL SERVER ANALYSIS SERVICES –MICROSOFT • CERTIFICATE IMPLEMENTING AND MAINTAINING MICROSOFT SQL SERVER INTEGRATION SERVICES –MICROSOFT • CERTIFICATE ADMINISTERING TEAM FOUNDATION SERVER • SYSTEM ADMINISTRATOR • Adobe program (graphics & design) • MS - SQL SERVER REPORTING SERVICE-OLAP-BI • SPSS ADVANCED TRAINING • ICDL CERTIFICATE • GEOMEDIA PROFESSIONAL GIS • GEOMEDIA WEBMAP GIS • GEOMEDIA TRANSPORTAION GIS • INTEL CERTIFICATE FUTURE FOR LEARNING • A+ COMPUTER MAINTENANCE (HARDWARE & SOFTWARE) • NETWORK + • SPECIALIZED COURSE IN METHODS OF CALCULATING THE RATE OF POPULATION GROWTH / DEPARTMENT OF STATISTICS • COURSE COMPLETION DEMOGRAPHIC / DEPARTMENT OF STATISTICS • SPECIALIZED COURSE IN THE MEASUREMENT OF IMMIGRATION / DEPARTMENT OF STATISTICS. • Develop GIS websites using GIS SILVERLIGHT asp.net technology. • Develop GIS websites using GIS flex technology. • Certificate projection methods and simulation models-UNESCO • Specialized course in fertility / Department of Statistics. • Specialized course in the measurement of levels and patterns of DEATH / DEPARTMENT OF STATISTICS • COURSE CODE POPULATION PROJECTIONS / DEPARTMENT OF STATISTICS • SPECIALIZED COURSE IN THE PREPARATION OF PROJECTIONS IN CRISES AND STRATEGIC PLANNING - UNESCO • WEB DESIGN USING DREAM WAVER • ASSOCIATE REGIONAL WORKSHOP ON EDUCATION STATISTICS - UNESCO INSTITUTE FOR STATISTICS • USING SPSS PROGRAM • ADVANCED COURSE IN STRATEGIC PLANNING AND THE PREPARATION OF INDICATORS • ADVANCED COURSE IN-DEPTH DEMOGRAPHIC ANALYSIS (U.S.BUREAU OF CENSUS) • ADVANCED COURSE IN POPULATION PROJECTIONS (U.S.BUREAU OF CENSUS) • EMIS EDUCATIONAL MANAGEMENT INFORMATION SYSTEM EXPERIENCES: • HEAD OF EMIS AND GIS DIVISION ) EDUCATIONAL MANAGEMENT INFORMATION SYSTEM( • HEAD OF PLANNING AND STATISTICS DIVISION • SUPERVISOR IN THE STATISTICS OF THE POPULATION IN THE KINGDOM IN 2004 AND DESIGNED STATISTICAL SOFTWARE.PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE EDUCATIONAL INDICATORS SIDE WITH GIS MAPS OF SCHOOL • TEAM LEADER IN DEVELOPMENT OF INFORMATION SYSTEM PROJECT ERSP • TEAM LEADER IN DEVELOPMENT OF INFORMATION SYSTEM PROJECT OPENEMIS • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE STATISTICAL INFORMATION AND SURVEY FOR SCHOOL FOOD.. UNITED NATIONS WORLD FOOD PROGRAMME (WFP) • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND SOFTWARE STATISTICAL INFORMATION EMIS-EDUWAVE. • DEVELOP AND MANAGE IMPLEMENTATION OF PROJECT COMMUNICATION STRATEGIES AND COORDINATE CHANGE MANAGEMENT. • NATIONAL COORDINATOR OF THE EDUCATION INDICATORS WEI "WORLD EDUCATION INDICATOR" -UNESCO • DATABASE SPECIALISTS OF PARLIAMENTARY ELECTIONS • DATABASE ADMINISTRATION • DATABASE DESIGN, IMPLEMENTATION, TRANSACTION PROCESSING, REFERENTIAL INTEGRITY, PERFORMANCE TUNING AND MONITORING WITH AN EMPHASIS IN MS SQL. • MONITOR, REVIEW, AND VERIFY BACKUPS, RECOVERY, AND DISASTER RECOVERY PROCESSES. • CONTROL AND MONITOR USER ACCESS TO DATABASES AND MAINTAIN DATABASE SECURITY. • TROUBLESHOOT JOB FAILURES, PERFORMANCE ISSUES, DATABASE INTERGRITY, ETC. • MONITOR ALERTS AND TAKE CORRECTIVE ACTION OR ESCALATE ISSUES. • RESOLVE DATABASE REQUESTS AND ISSUES. • PERFORM DATABASE TUNING FOR OPTIMAL PERFORMANCE. • WORK CLOSELY WITH DEVELOPMENT AND NETWORK TEAMS ON RESOLVING ISSUES. • MAINTAIN DOCUMENTATION OF SYSTEMS AND STANDARD OPERATING POLICIES AND PROCEDURES. • ASSOCIATE IN THE DEVELOPMENT OF PARLIAMENTARY ELECTIONS SCHEDULES FOLLOW-UP AND THE RESULTS. • PARTICIPANTS IN THE INFORMATION SYSTEMS INTEGRATION PROJECT IN THE MINISTRY OF EDUCATION. • PARTICIPANT IN THE DEVELOPMENT OF DATABASES AND APPLICATION FOR SYRIAN REFUGEES CRISIS INFORMATION SYSTEM • PARTICIPANT IN THE LAMP (LITERACY ASSESSMENT AND MONITORING PROGRAM) –UNESCO • PARTICIPANT IN THE OUT OF SCHOOL CHILDREN STUDY – WITH UNICEF AND UNESCO • PARTICIPANT IN THE DEVELOPMENT OF THE DIRECTORATE AND THE SCHOOL (SDDP), • PARTICIPANT IN WORKSHOP FOR CHANGE MANAGEMENT –USAID • PARTICIPANT IN WORKSHOP FOR STATISTICAL INFORMATION –UNESCO &ALECSO- TUNIS • PARTICIPANT IN WORKSHOP FOR MONITORING AND EVALUATION -USAID • DESIGN AND CONSTRUCTION OF APPROPRIATE EDUCATIONAL POLICIES. • ADVANCED COURSE IN LEADERSHIP IN STRATEGIC COMMUNICATION • ADVANCED COURSE IN USING SPSS FOR DATA ANALYSIS • ADVANCED COURSE IN USING SPSS FOR DEMOGRAPHIC HEALTH SURVEYS • DESIGNER STATISTICAL SOFTWARE ESPECIALLY IN THE CAMPAIGN PROVIDES YALA MAY IN AMMAN IN 2009. • WEB SITE DEVELOPER AND DESIGN • PREPARE AND PARTICIPATE IN WORKSHOPS, INTERNATIONAL INDICATORS AND STRATEGIC PLANNING AND THE USE OF SOFTWARE AND DEVELOPMENT • PROGRAMMER IN PLANNING DIVISION SINCE 1/2004 • TEACHER FOR COMPUTER AND CHEMISTRY FROM 8/1995 • TRAINER FOR VISUAL BASIC.NET ADO.NET ASP.NET AND ICDL CERTIFICATE الاسم: شعبان يوسف محمد القصاص هاتف: 0799455189 فاكس :5666492 الجنسية: أردني العنوان: الأردن -عمان البريد الالكتروني: SHBNQ422@YAHOO.COM WWW.SHAABANALQASSAS.COM المؤهل العلمي: دبلوم عالي في تكنولوجيا المعلومات الجامعة الأردنية بكالوريوس كيمياء و حاسوب من جامعة اليرموك الأردنية عام 1993 شهادة مطور برمجيات ميكروسوفت من شركة ميكروسوفت العالمية ( MCAD .NET ) MS SQL server DATABASE 2005-2008-2012-2014 /ASP.NET/ ADO.NET/ VB.net C#: MVC : LINQ PHP ; MYSQL DATABASE دورة "أخصائي تكنولوجيا معتمد من مايكروسوفتMCTS MS - SQL SERVER REPORTING SERVICE –OLAP-BI MS ANALYSIS SERVICE System administrator Joomla website developer شهادةNETWORK + الدولية في شبكات الحاسوب شهادة التعليم للمستقبل INTEL لحوسبة التعليم شهادةA+ الدولية في صيانة الحاسوب شهادة نظم إدارة المعلومات التربوية EMIS وشهادة الخرائط الجغرافية GIS تدريب متخصص ArcGIS10.1 (I) شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (II) شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (III) performing analysis شركة ESRI العالمية تدريب متخصص ArcGIS10.1 (building geodatabase) شركة ESRI العالمية تدريب متخصص SharePoint إدارة وتطوير GEOMEDIA PROFESSIONAL GIS GEOMEDIA WEBMAP GIS GEOMEDIA TRANSPORTAION GIS دورة استخدام برمجيات المؤشرات والتحليل الاحصائي devinfo spectrum -- دورة متخصصة في اساليب حساب معدل النمو السكاني / دائرة الاحصاءات العامة دورة متخصصة في الاستكمال الديمغرافي / دائرة الاحصاءات العامة دورة متخصصة في قياس الهجرة / دائرة الاحصاءات العامة دورة متخصصة في الخصوبة / دائرة الاحصاءات العامة دورة متخصصة في قياس مستويات وانماط الوفاة / دائرة الاحصاءات العامة دورة متخصصة في برمجية الاسقاطات السكانية / دائرة الاحصاءات العامة Adobe program (graphics & design) تصميم مواقع الانترنت باستخدام Dream Waver استخدام برمجية SPSS في التحليل الاحصائي دورة متقدمة في التخطيط الاستراتيجي واعداد المؤشرات دورة متخصصة في اعداد الاسقاطات في الازمات والتخطيط الاستراتيجي - يونيسكو دورة متقدمة في التحليل الديمغرافي المعمق U.S.BUREAU OF CENSUS دورة متقدمة في الاسقاطات السكانية U.S.BUREAU OF CENSUS الخبرات: • رئيس قسم نظام إدارة المعلومات التربوية EMIS والخرائط GIS في وزارة التربية • رئيس قسم التخطيط والاحصاء التربوي في وزارة التربية والتعليم من تاريخ 2006 . • اعداد والمشاركة في ورش المؤشرات الدولية والتخطيط الاستراتيجي واستخدام برمجياتها وتطويرها • مشرف في الاحصاءات العامة للسكان في المملكة للعام 2004 ومصمم برمجيات احصائية. • تطوير مواقع انترنت الجغرافية باستخدام تقنية GIS SILVERLIGHT asp.net • تطوير مواقع انترنت الجغرافية باستخدام تقنية GIS flex • اخصائي قواعد بيانات في الهيئة المستقلة للانتخاب –الأردن • مدير فريق تطوير نظام إدارة المعلومات التربوي والمؤشرات التربية ERSP • مدير فريق تطوير نظام إدارة المعلومات التربوي والمؤشرات التربية OpenEMIS • مشارك في تطوير قواعد بيانات و معلومات الطلبة اللاجئين السوريين • مشارك في ورشة عمل في إدارة التغيير – USIAD • مشارك في ورشة عمل في المتابعة والتقييم - USIAD • مشارك في تطوير قواعد بيانات و برمجيات المؤشرات التربوية باستخدام الخرائط المدرسية GIS • مشارك في الانتخابات النيابية تطوير جداول المتابعة واصدار النتائج. • مشارك في تطوير قواعد بيانات وبرمجيات المعلومات الاحصائية EMIS-Eduwave • مشارك في مشروع تطوير المديرية والمدرسة (SDDP) ورسم وبناء السياسات التربوية . • مشارك في مشروع تكامل انظمة المعلومات في وزارة التربية والتعليم • مشارك في مشروع احصائيات معرفة القراءة والكتابة برنامج تقييم وتتبع مستويات القرائية LAMP • دورة متقدمة في القيادة في استراتيجية الاتصال . جامعة ميتشغان الامريكية • المنسق الوطني لمؤشرات التعليم WEI "World Education Indicator " -UNESCO • مشارك في ورشة عمل الاقليمية حول احصاءات التعليم – معهد اليونسكو للاحصاء • مصمم برمجيات احصائية خاصة في حملة يالا نوفر مي في عمان للعام 2009 • مطور ومصمم مواقع انترنت • مبرمج في قسم التخطيط في مديرية التربية والتعليم .تطوير برامج الحاسوب لحوسبة أعمال القسم من تاريخ 2004 • مدرس لمادتي الكيمياء والحاسوب للمرحلة الثانوية والأساسية من تاريخ 1995 • مدرب لبرمجية visual basic .net asp.net ado.net من تاريخ 2004 • مدرب لشهادة الحاسوب الدولية ICDL)) من تاريخ 2001
alenfour / Global Population Data AnalysisThis project analyzes global population datasets to understand demographic changes, population growth trends, and country-level statistics.
