40 skills found · Page 1 of 2
sharmaroshan / Statistics For Data ScienceLearning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
xploitspeeds / Bookmarklet Hacks For School* READ THE README FOR INFO!! * Incoming Tags- z score statistics,find mean median mode statistics in ms excel,variance,standard deviation,linear regression,data processing,confidence intervals,average value,probability theory,binomial distribution,matrix,random numbers,error propagation,t statistics analysis,hypothesis testing,theorem,chi square,time series,data collection,sampling,p value,scatterplots,statistics lectures,statistics tutorials,business mathematics statistics,share stock market statistics in calculator,business analytics,GTA,continuous frequency distribution,statistics mathematics in real life,modal class,n is even,n is odd,median mean of series of numbers,math help,Sujoy Krishna Das,n+1/2 element,measurement of variation,measurement of central tendency,range of numbers,interquartile range,casio fx991,casio fx82,casio fx570,casio fx115es,casio 9860,casio 9750,casio 83gt,TI BAII+ financial,casio piano,casio calculator tricks and hacks,how to cheat in exam and not get caught,grouped interval data,equation of triangle rectangle curve parabola hyperbola,graph theory,operation research(OR),numerical methods,decision making,pie chart,bar graph,computer data analysis,histogram,statistics formula,matlab tutorial,find arithmetic mean geometric mean,find population standard deviation,find sample standard deviation,how to use a graphic calculator,pre algebra,pre calculus,absolute deviation,TI Nspire,TI 84 TI83 calculator tutorial,texas instruments calculator,grouped data,set theory,IIT JEE,AIEEE,GCSE,CAT,MAT,SAT,GMAT,MBBS,JELET,JEXPO,VOCLET,Indiastudychannel,IAS,IPS,IFS,GATE,B-Tech,M-Tech,AMIE,MBA,BBA,BCA,MCA,XAT,TOEFL,CBSE,ICSE,HS,WBUT,SSC,IUPAC,Narendra Modi,Sachin Tendulkar Farewell Speech,Dhoom 3,Arvind Kejriwal,maths revision,how to score good marks in exams,how to pass math exams easily,JEE 12th physics chemistry maths PCM,JEE maths shortcut techniques,quadratic equations,competition exams tips and ticks,competition maths,govt job,JEE KOTA,college math,mean value theorem,L hospital rule,tech guru awaaz,derivation,cryptography,iphone 5 fingerprint hack,crash course,CCNA,converting fractions,solve word problem,cipher,game theory,GDP,how to earn money online on youtube,demand curve,computer science,prime factorization,LCM & GCF,gauss elimination,vector,complex numbers,number systems,vector algebra,logarithm,trigonometry,organic chemistry,electrical math problem,eigen value eigen vectors,runge kutta,gauss jordan,simpson 1/3 3/8 trapezoidal rule,solved problem example,newton raphson,interpolation,integration,differentiation,regula falsi,programming,algorithm,gauss seidal,gauss jacobi,taylor series,iteration,binary arithmetic,logic gates,matrix inverse,determinant of matrix,matrix calculator program,sex in ranchi,sex in kolkata,vogel approximation VAM optimization problem,North west NWCR,Matrix minima,Modi method,assignment problem,transportation problem,simplex,k map,boolean algebra,android,casio FC 200v 100v financial,management mathematics tutorials,net present value NPV,time value of money TVM,internal rate of return IRR Bond price,present value PV and future value FV of annuity casio,simple interest SI & compound interest CI casio,break even point,amortization calculation,HP 10b financial calculator,banking and money,income tax e filing,economics,finance,profit & loss,yield of investment bond,Sharp EL 735S,cash flow casio,re finance,insurance and financial planning,investment appraisal,shortcut keys,depreciation,discounting
yug95 / MachineLearningMachine learning for beginner(Data Science enthusiast)
Fourmilab / Ent Random Sequence TesterUtility for testing random and pseudorandom sequences, either as bytes or bit streams, reporting entropy, mean value, serial correlation, chi square, and Monte Carlo estimate of an value, serial correlation, chi square, and Monte Carlo estimate of π.
livingsocial / AbanalyzerA/B test analysis library for Ruby - performs Chi-Square tests and G-tests on A/B results
bmuller / AbanalyzerA/B test analysis library for Ruby - performs Chi-Square tests and G-tests on A/B results - New location for https://github.com/livingsocial/abanalyzer
shantanu1109 / IBM HR Analytics Employee Attrition And Performance PredictionIn this project, we enlisted the numerical and categorical attributes present in the publicly available dataset. Missing values were dropped to give better insights in data analysis. ANOVA and Chi-Square tests were carried out during statistical analysis. Machine Learning algo's were applied to understand, manage, and mitigate employee attrition.
28101991SUNNY / BusinessCase Data Exploration Case Studies and Projects in Machine Learning/EDA/DL
kn45 / Chi SquareText feature selection with Chi-squared test supporting map-reduce
pleonova / Stat TestsA 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
THARUN1526 / Chi Square Test In PythonThe chi-square test in Python (using `scipy.stats`) checks if categorical variables are significantly associated. It compares observed and expected frequencies, giving chi-square statistic, p-value, degrees of freedom, and expected frequencies. Interpret using p-value vs. significance level. Useful for analyzing categorical data in many fields.
neuhofmo / Chisq Test WrapperA friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.
VerisimilitudeX / VigenereDecrypterDecrypt Vigenère ciphers with missing keys through language-agnostic Chi-squared statistical tests.
edaaydinea / OP1 Prediction Of The Different Progressive Levels Of Alzheimer S DiseaseThis is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
edaaydinea / OP2 Prediction Of The Different Progressive Levels Of Alzheimer S Disease With MRI DataThis is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
mahat / ChiSquareTestChi-Square Test examples on Python
bhattbhavesh91 / Chi Squared Feature Selection SelectkbestChi-Squared For Feature Selection using SelectKBest
hoangsonww / Brazilian Portuguese Nonce Accessbility🇧🇷 A project for analyzing acceptability judgments of Brazilian Portuguese nonce words using R, focusing on syllable length and initial segment type. Includes mosaic plots and chi-square tests to assess structural effects on responses, with results suggesting no significant influence from either factor.
prakhardogra921 / Bank Marketing ClassificationBank Marketing Classification using scikit-learn library to train and validate classification models like Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Neural Network and Support Vector Machine. Also conducted comparative study on the above models when applied on different feature sets obtained via feature selection (Chi-Square Test), feature transformation (Principal Component Analysis) and feature elimination.
stdlib-js / Stats Chi2testPerform a chi-square independence test.
