204 skills found · Page 5 of 7
rohitthapliyal2000 / Sentiment Analysis NLTKOpinion mining for provided data from various NLTK corpus to test/enhance the accuracy of the NaiveBayesClassifier model.
prustyp / Traffic And Weather Data Mining And Modeling For Accident PredictionRoad safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roadway infrastructure and safety certification of the vehicles, so that the lives of the people on the road will be safer. However, there are still a large number of fatal accidents occurring on the road. In the year 2018 alone, the number of fatalities on the road has increased upto 1.28 million [1]. Predicting accidents have thus become one of the widely researched topics which could be used by different agencies for optimizing traffic conditions (e.g. adding more lanes in one direction and reversing it when the condition changes), provide a dynamic route to riders using GPS and improving overall transportation infrastructure. There are a variety of dataset publicly available for this cause such as accident data, traffic event data and weather data. These datasets could be used to prepare useful classification models to predict whether a particular condition is more prone to accidents and drivers must drive with precaution.
CodeSoul-co / THETALLM-adaptive embeddings (Zero-shot / LoRA) with Generative Topic Modeling & Agent-based workflow for social science text mining
HaoranKou / Deep Risk ModelImplementing 'Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation' based on Pytorch.
Ehtijad-Ali / DATA MINING USING MYSQLData mining is the process of uncovering patterns and insights from large datasets using statistical and computational techniques to aid decision-making and predictive modeling.
LeonOnyx / Onyx PowerBI MLMachine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them. In this session we will learn how to use Automated Machine Learning to create and apply a binary prediction model in Power BI using Python, Anaconda and Pycaret to quickly classify data.
Kaiiser7 / Credit Card Fraud Detection Using Machine Learning With PythonIt is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Content The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. It contains only numerical input variables which are the result of a PCA transformation. Unfortunately, due to confidentiality issues, we cannot provide the original features and more background information about the data. Features V1, V2, … V28 are the principal components obtained with PCA, the only features which have not been transformed with PCA are 'Time' and 'Amount'. Feature 'Time' contains the seconds elapsed between each transaction and the first transaction in the dataset. The feature 'Amount' is the transaction Amount, this feature can be used for example-dependant cost-sensitive learning. Feature 'Class' is the response variable and it takes value 1 in case of fraud and 0 otherwise. Given the class imbalance ratio, we recommend measuring the accuracy using the Area Under the Precision-Recall Curve (AUPRC). Confusion matrix accuracy is not meaningful for unbalanced classification. Update (03/05/2021) A simulator for transaction data has been released as part of the practical handbook on Machine Learning for Credit Card Fraud Detection - https://fraud-detection-handbook.github.io/fraud-detection-handbook/Chapter_3_GettingStarted/SimulatedDataset.html. We invite all practitioners interested in fraud detection datasets to also check out this data simulator, and the methodologies for credit card fraud detection presented in the book. Acknowledgements The dataset has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group (http://mlg.ulb.ac.be) of ULB (Université Libre de Bruxelles) on big data mining and fraud detection. More details on current and past projects on related topics are available on https://www.researchgate.net/project/Fraud-detection-5 and the page of the DefeatFraud project Please cite the following works: Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson and Gianluca Bontempi. Calibrating Probability with Undersampling for Unbalanced Classification. In Symposium on Computational Intelligence and Data Mining (CIDM), IEEE, 2015 Dal Pozzolo, Andrea; Caelen, Olivier; Le Borgne, Yann-Ael; Waterschoot, Serge; Bontempi, Gianluca. Learned lessons in credit card fraud detection from a practitioner perspective, Expert systems with applications,41,10,4915-4928,2014, Pergamon Dal Pozzolo, Andrea; Boracchi, Giacomo; Caelen, Olivier; Alippi, Cesare; Bontempi, Gianluca. Credit card fraud detection: a realistic modeling and a novel learning strategy, IEEE transactions on neural networks and learning systems,29,8,3784-3797,2018,IEEE Dal Pozzolo, Andrea Adaptive Machine learning for credit card fraud detection ULB MLG PhD thesis (supervised by G. Bontempi) Carcillo, Fabrizio; Dal Pozzolo, Andrea; Le Borgne, Yann-Aël; Caelen, Olivier; Mazzer, Yannis; Bontempi, Gianluca. Scarff: a scalable framework for streaming credit card fraud detection with Spark, Information fusion,41, 182-194,2018,Elsevier Carcillo, Fabrizio; Le Borgne, Yann-Aël; Caelen, Olivier; Bontempi, Gianluca. Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization, International Journal of Data Science and Analytics, 5,4,285-300,2018,Springer International Publishing Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He, Frederic Oblé, Gianluca Bontempi Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection, INNSBDDL 2019: Recent Advances in Big Data and Deep Learning, pp 78-88, 2019 Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Frederic Oblé, Gianluca Bontempi Combining Unsupervised and Supervised Learning in Credit Card Fraud Detection Information Sciences, 2019 Yann-Aël Le Borgne, Gianluca Bontempi Machine Learning for Credit Card Fraud Detection - Practical Handbook
AprilXiaoyanLiu / Business Intelligence Machine Learningleverage predictive models, machine learning, data mining to solve marketing, business problems
linhx25 / DeepRiskModelDeep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
SohelRaja / Customer Churn AnalysisImplementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.
ugorsahin / Generative Negative MiningEnhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining, WACV 2024
nixiesearch / NegminerA hard negative mining tool for embedding model training
PurdueDualityLab / PeaTMOSS DemosA repository that holds demos on interactions with the PeaTMOSS Dataset. Suitable for mining software repositories/MSR research on how machine learning and pre-trained models are integrated into (open-source) software engineering.
Prashant-Abbi / Crop Yield PredictionThis project aims to design, develop and implement the training model by using different inputs data. The machine will able to learn the features and extract the crop yield from the data by using data mining and data science techniques.
Hanc1999 / Basic Machine Learning ModelsA collection for basic machine learning and data mining model implementations, in Python, mainly referencing the books: *Machine Learning: A Probabilistic Perspective* and *Data Mining Concepts and Techniques*. Most codes are implemented in a plain way, without using high-level API or modules. The demo of results is also generally available. Suitable for example and self-learning. Have fun!
freesinger / Readmission PredictionAn advanced data mining model to predict hospital readmission in dataset of diabetes patients.
MathynS / EmmExceptional Model Mining is a descriptive data mining technique to find interesting patterns in datasets. This package contains a Python inmplementation of Exceptional Model Mining that can be applied to any dataset.
aryan-harsh / Stock Market PredictorThis contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, SVM, various ensemble approaches) in a Dataset of Stock Market for 5 Years , plus Technical Indicators, Wikipidea hits, News mentions and other such features.
dcstechnoweb / The Reason Why Everyone Love Mining ToolsAs a rule, mining alludes to the birth of minerals and land accoutrements from the earth, from a gravestone or seal. moment different factors are mended by mining as similar accoutrements aren't developed, horticulturally handled, or misleadingly made. Superb models are precious essence, coal, precious monuments, and gold. Non-inexhaustible sources like ignitable gas, petrol, and indeed water are also booby-trapped. With the application of applicable mining tackle, the vigorous and worrisome undertaking of mining is achieved. Mining is the system involved in disengaging significant minerals and geographical accoutrements. typically, the minerals got from the mining system incorporate earth, coal, aspect gravestone, rock, gemstone, limestone, essence, potash, gemstone swab, and oil painting shale, and that is just the morning. As is generally said, whatever could not be developed through agricultural ways or made in a factory must be booby-trapped. Ever, indeed the birth of ignitable gas, oil painting, and other on-inexhaustible means are also acquired through mining. Mining is a sedulity that has been around for glories. it's been used on an outsized scale since neolithic times and contains long history. Mining makes use of technology so on urge the duty finished effectiveness and through a timely manner. There are numerous several mining tools that should be got used for the duty to be done duly. From the tricks of the trade to plenty of introductory, DCS Techno can give you a regard at completely different mining tools. for several years, the strategy for earning enough to pay the bills was by finding a replacement line of labour and dealing during a mine. Mining tools are a significant tool employed in creating a good kind of minerals from the planet. From the method of rooting minerals, they're also employed in a spread of consumer products. Mining Tools are utilized in the timber of buses, electronics, and jewellery. they're utilized in nearly every hand of society. Presently assuming that you just want to induce minerals from the planet, you need to have the correct apparatuses. Exercising proper and probative gear can make mining tasks more straightforward and more helpful. These are the foundation of any mining association so you should be careful while copping the needed effects. You can browse different tackle, with changing purposes and purposes, to do the errands hastily. Be open and feel free to this gear in the event that you realize it can help with expanding your tasks' effectiveness. The mining business has five significant sections coal mining, gas, and oil painting separating, essence mining, non-metal mining, and supporting exercises. Besides farther developing the exertion sluice, this tackle ought to likewise expand the degree of the well- being of the sloggers hard. As the owner, it's your obligation to take care of their musts. Pre-Historic Mining Early mortal progress has used the world's means through digging for a multifariousness of purposes. an outsized portion of the minerals and components mined in early times were utilized for the assembly of weapons and different devices. During these times, top-notch stone, which happens in masses of sedimentary rocks, was at that time pursued in pieces of Europe. They were utilized as weapons within that period of time. irrespective of the restricted mining gear, Neanderthal men had the choice to quarry and make ad-libbed instruments. Glancing back at history, specialists would affirm that metal and stone mining has been essential for everyday living since antiquated times. In our times, present-day techniques and hardware are being employed to formwork essentially simpler and increment usefulness. these days, the foremost common way of mining includes fundamental advances, recognizing regions where metal bodies are often gotten, dissecting its conceivable benefit, extricating the materials, and afterward recovering the land after the activity is finished up. Obviously, security could be a limitless need, particularly during the mining system itself. Working in such a setting is extremely hazardous thus security estimates should be painstakingly noticed. In view of their riches and influence, the antiquated Egypt civilization was one of the primaries to effectively mine minerals. They were accustomed mine is malachite and gold. The green stones were used for the foremost a part of stoneware and as trimmings. Later on, involving iron devices as mining hardware, they sought minerals, generally gold from Nubia. The stone containing the mineral is ready against a stone face to warm it and afterward drenched with water. Fire-setting was maybe the foremost well-known strategy for mining it slows ago. Mining predisposition is the stuff utilized in eliminating a wide bunch of minerals from the earth. Booby-trapped minerals are employed in enough important every paperback item from vehicles to attack, to gems and also some.These means are acquired using different feathers of mining instruments. Mining Tools are the outfit used in lodging a wide array of minerals from the earth. They range from the most introductory outfit, analogous as shovels and picks, to complex ministry, like drills and crushers. Booby- trapped minerals are used in nearly every consumer product — from motorcars, to electronics, to jewellery and further. They are employed to make everything from plastics to iPads and mobile phones. The mining business is formed out of assorted players, everyone with a basic job to create the work fruitful and compelling. most significantly, the general public authority handles the assignments of overseeing mineral cases moreover as giving investigation grants. Miners, then again, accomplish crafted by using topographical guides and other significant apparatuses to tell apart minerals. Junior investigation organizations are those accountable for testing stores for any attractive metals. Generally speaking, these organizations additionally own working mines. Then, significant mining organizations employ gifted people to accomplish the real work of mining. also flashed back for the rundown are the specialists. These experts handle sophisticated lab work and similar. Administration’s suppliers are likewise significant and they can come in colorful administrations, for illustration, geologists, copter aviators, instructors, and multitudinous others. Gear providers, development associations, assiduity confederations, and fiscal exchange fiscal backers also play their own corridor to satisfy to finish the advanced perspective. It was the Romans who made extraordinary advancements throughout the entire actuality of mining. They were the original bones to use enormous compass quarrying strategies, for illustration, the application of volumes of water to work introductory outfit, exclude trash, etc. This has come to be known as water-fueled mining or hydraulicking. This is a type of mining that utilizes high-constrained shocks of water to move jewels and other residue and detritus. During the 1300s, the interest in essence brands, coverings, and different munitions expanded drastically. further minerals, for illustration, iron, and tableware were extensively excavated. The interest to deliver coins also expanded with the eventual result of causing a lack of tableware. During this period, iron turned into an abecedarian part of structure developments; outfits and other mining gear came pervasive. from open-hole mining, water shops and dark greasepaint have developed into tractors, snares, exchanges, etc. Other mechanical advancements, for illustration, green light rays employed in mining as aphorism attendants and machine arrangements helped diggers with quarrying lands. Feathers of Mining Tools The mining sedulity has a wide compass of endlessly booby-trapping outfits. The mining business is a mind- boggling frame that requires an outfit that not just meets the particular musts of the mining business, yet likewise resolves the issues of the guests. thus, mining associations need gear like cherries on top, safeguards, sizers, the cherry on top pails, gyratory cherries on top, sway cherries on top, and jaw cherries on top. From-noteworthy bias, a huge outfit is presently used to successfully and incontinently uncover lands. These are also used to separate and exclude jewels, indeed mountains. Exceptionally designed gear presently helps in the birth of different precious minerals and other had relations with accoutrements like gypsum and swab. moment, there are as of now five classes of mining coal, essence, on-metallic mineral mining, oil painting, and gas birth. oil painting and gas birth stay to be maybe the topmost business in this present reality. Any intrigued fiscal backer or business person who needs to probe the mining business should communicate to the concerned neighbourhood government workplaces to get some information about the musts. By reaching out to these means, important data will be gotten and every one of the abecedarian advances will be illustrated. Poring the authority spots of mining associations can likewise be useful in realizing mining. Mining is a sedulity that has been around for prodigies. It has been employed on an outsized scale since neolithic times and contains long history. Mining utilizes invention to encourage the obligation to finish with acceptability and as soon as possible. There are colorful mining accoutrements that must be landed employed for the position to be done meetly. From the subtle strategies to a ton of early on, DCS Techno can offer you admire to completely unique mining instruments. From now onward, indefinitely quite a while, the system for making with the end result of dealing with the bills was by finding one more calling and working in a mine Mining instrument are a necessary outfit employed in making a wide multifariousness of minerals from the earth. From the system involved with establishing minerals, they're also employed in a multifariousness of client particulars. Mining Tools are employed in the timber of transports, tackle, and gems. They're employed in basically every hand of society. By and by awaiting that you need to get minerals from the earth, you should have the right bias. Mining inclination is the stuff employed in barring a wide bunch of minerals from the earth. Booby- caught minerals are employed inadequate important every softcover thing from vehicles to handle, to jewels and likewise some. also, minerals like uranium and coal are critical energy sources that record for half of the US's energy force. These coffers are gained exercising colorful awards of mining instruments. Mining Tools are the outfit employed in establishing a wide cluster of minerals from the earth. They range from the most starting outfit, relative as digging tools and picks, to complex tackle, analogous to drills and cherries on top. Booby- caught minerals are employed in nearly every buyer item from transports to widgets, to doodads and further. Mining Industry Overview Mining falls into two classes Surface mining and underground mining. The kind of minerals and mining ways that a mining trouble is trying to suppose will directly enlighten which instruments tractors use in their work. 1.Surface Mining This involves the mining of minerals located at or near the face of the earth. This are the six step processes and these are • Strip Mining- this involves the stripping of the earth's face by the heavy ministry. This system is generally targeted at rooting coal or sedimentary jewels that lay near the earth's face. • Placer Mining- this involves the birth of sediments in beach or clay. It's a simple, old- fashioned way of mining. This system is generally applicable to gold and precious gems that are carried by the inflow of water. • Mountain Top Mining- this is a new system that involves blasting a mountain top to expose coal deposits that lie underneath the mountain crest. • Hydraulic Mining- this is an obsolete system that involves jetting the side of a mountain or hill with high-pressure water to expose gold and another precious essence. • Dredging- it involves the junking of jewels, beaches, and ground underneath a body of water to expose the minerals. • Open hole- this is the most common mining system. It involves the junking of the top layers of soil in the hunt for gold or buried treasure. The miner digs deeper and deeper until a large, open hole is created. 2. Underground Mining This is the process in which a lair is made into the earth to find the mineral ore. The mining operation is generally performed with the use of underground mining outfits. Underground mining is done through the following styles • pitch Mining- it involves the creation of pitches into the ground in order to reach the ore or mineral deposit. This cycle is for the most part applied in coal mining. • Hard gemstone- this system uses dynamite or giant drills to produce large, deep coverts. The miners support the coverts with pillars to help them from collapsing. This is a large- scale mining process and is generally applied in the birth of large bobby, drum, lead, gold, or tableware deposits. • Drift mining- this system is applicable only when the target mineral is accessible from the side of a mountain. It involves the creation of a lair that is slightly lower than the target mineral. The graveness makes the deposit fall to the lair where miners can collect them. • Shaft system- this involves the creation of a perpendicular hallway that goes deep down underground where the deposit is located. Because of the depth, miners are brought in and out of the hole with elevators. • Borehole system- this involves the use of a large drill and high-pressure water to eject the target mineral. These are the introductory styles used in the birth of common minerals. There are more complex systems, but still, they're grounded on these abecedarian processes. To Know more information about Mining Tools Visit: dcstechno Contact us: Plot No 169, Road No.11, Prashasan Nagar, Jubilee Hills, Hyderabad, Telangana – 500096 +91-9849009875
sweyn / Bitcoin Mining ProfitabilityModel of Bitcoin mining profitability
