EDA, Statistics & Machine Learning Projects

Welcome to the Repository!

This is the Repository for understanding the work on Exploratory Data Analysis, Statistics & Machine Learning Models. In this repo you will find all the accompanying Jupyter (a.k.a. iPython) Notebooks.

Linear Regression Model & Assumptions Click Here
Big Mart Sales Project - EDA & Outlier Treatment Click Here
Predicting Sales - EDA, Feature Engineering & Machine Learning Model Click Here
Hypothesis Testing (One Sample & Two Sample T-Test) Click Here
Understanding Anova & Chi Square Test Click Here
One Way & Two Way Anova Examples Click Here
Black Friday Purchase Price Prediction - ML Models Click Here
Regularization Models (Ridge, Lasso & Elastic Net) Click Here
Healthcare Analytics - EDA, Feature Engineering & Machine Learning Model Click Here
Insurance Claim Prediction Problem - EDA, Feature Engineering & Machine Learning Model Click Here
Taxi Fare Prediction - EDA, Feature Engineering, Supervised & Unsupervised Machine Learning Click Here
Car Insurance Claim Prediction - EDA, Feature Engineering & Machine Learning Click Here
Principal Component Analysis on Wine Dataset - Understanding Clustering & PCA Click Here
Workathon Price Prediction Challenge - Text Cleaning & Feature Engineering Click Here

Front End Projects

Understanding Data Science Using IPL Dataset Click Here
Exploratory Data Analysis on Netflix Click Here

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EDA, Statistics & Machine Learning Projects

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Name		Name	Last commit message	Last commit date
Latest commit History 88 Commits
.gitignore		.gitignore
01-Support Vector Machines with Python.html		01-Support Vector Machines with Python.html
01_Exploring_Word_Embeddings.ipynb		01_Exploring_Word_Embeddings.ipynb
10 Common Data Science Pitfalls.pdf		10 Common Data Science Pitfalls.pdf
50 days of Machine Learning.pdf		50 days of Machine Learning.pdf
783.pdf		783.pdf
Anova and Chi Square Test.ipynb		Anova and Chi Square Test.ipynb
Anova with Calculations and Dataset.ipynb		Anova with Calculations and Dataset.ipynb
Applied Predictive Modelling Maxx Kuhnn.pdf		Applied Predictive Modelling Maxx Kuhnn.pdf
Bayes Theorem and Probability - Day 03.html		Bayes Theorem and Probability - Day 03.html
Big Sales Mart - EDA & Outlier Removal - GBM RMSE 1105.ipynb		Big Sales Mart - EDA & Outlier Removal - GBM RMSE 1105.ipynb
Big Sales Mart - Lasso & Ridge Regression (2).ipynb		Big Sales Mart - Lasso & Ridge Regression (2).ipynb
Big Sales Mart Final Script.ipynb		Big Sales Mart Final Script.ipynb
Big Sales Mart Statistics.ipynb		Big Sales Mart Statistics.ipynb
Big Sales Mart.html		Big Sales Mart.html
BigMart Sales Case Study - Final Script.ipynb		BigMart Sales Case Study - Final Script.ipynb
Binomial & Poisson Probability Distribution.ipynb		Binomial & Poisson Probability Distribution.ipynb
Black Friday Sales Problem.ipynb		Black Friday Sales Problem.ipynb
Case Study - DAY 01.ipynb		Case Study - DAY 01.ipynb
Chi_Square_Test-2.ipynb		Chi_Square_Test-2.ipynb
Chi_Square_Tests_Titanic_Dataset.ipynb		Chi_Square_Tests_Titanic_Dataset.ipynb
Classification Cancer Data - Final Script.ipynb		Classification Cancer Data - Final Script.ipynb
Confidence Interval & Central Limit Theorem.ipynb		Confidence Interval & Central Limit Theorem.ipynb
Continuous_Probability_Distribution Basicsl.ipynb		Continuous_Probability_Distribution Basicsl.ipynb
Data Visualisation Using Seaborn Python.html		Data Visualisation Using Seaborn Python.html
Day 01 Ensemble Methods.ipynb		Day 01 Ensemble Methods.ipynb
Day 02 - Ensemble.ipynb		Day 02 - Ensemble.ipynb
Ensemble Methods Part 02.html		Ensemble Methods Part 02.html
Ensemble Methods Part 02.ipynb		Ensemble Methods Part 02.ipynb
Ensemble Models Diabetes Dataset.html		Ensemble Models Diabetes Dataset.html
Ensemble Models Diabetes Dataset.ipynb		Ensemble Models Diabetes Dataset.ipynb
Ensembles_credit.ipynb		Ensembles_credit.ipynb
GIT Guide.pdf		GIT Guide.pdf
Handling Imbalance Dataset.pdf		Handling Imbalance Dataset.pdf
Healthcare Analytics.ipynb		Healthcare Analytics.ipynb
Healthcare.ipynb		Healthcare.ipynb
Hierarchical Clustering Day 02.ipynb		Hierarchical Clustering Day 02.ipynb
Hierarchical Clustering.html		Hierarchical Clustering.html
Hierarchical Clustering.ipynb		Hierarchical Clustering.ipynb
Hierarchical clustering.pptx		Hierarchical clustering.pptx
House Price Prediction Using PCA- Kaggle.ipynb		House Price Prediction Using PCA- Kaggle.ipynb
House Price Prediction using Lasso and Ridge.ipynb		House Price Prediction using Lasso and Ridge.ipynb
Hypothesis Test One sample and two sample T Test .ipynb		Hypothesis Test One sample and two sample T Test .ipynb
Hypothesis Testing - Summary.html		Hypothesis Testing - Summary.html
Hypothesis Testing in Python.html		Hypothesis Testing in Python.html
Insurance Claim Prediction (1).ipynb		Insurance Claim Prediction (1).ipynb
Introduction to Categorical Data Analysis Alan Agresti.pdf		Introduction to Categorical Data Analysis Alan Agresti.pdf
Introduction to GGPLOT.html		Introduction to GGPLOT.html
Introduction to Programming in Python.pdf		Introduction to Programming in Python.pdf
K Means Clustering (1).ipynb		K Means Clustering (1).ipynb
K Means Clustering.html		K Means Clustering.html
K Means Clustering.ipynb		K Means Clustering.ipynb
KNN - Network Intrusion Case Study.html		KNN - Network Intrusion Case Study.html
KNN Algorithm.pptx		KNN Algorithm.pptx
Kaggle Competition - Predicting House Prices Using PCA.ipynb		Kaggle Competition - Predicting House Prices Using PCA.ipynb
Lasso and Ridge Regression - Big Sales Mart Competition .ipynb		Lasso and Ridge Regression - Big Sales Mart Competition .ipynb
Linear Regression - TTest FTest & Assumptions.ipynb		Linear Regression - TTest FTest & Assumptions.ipynb
Linear Regression - Tips Dataset.ipynb		Linear Regression - Tips Dataset.ipynb
Linear Regression ML Day 02.html		Linear Regression ML Day 02.html
Linear Regression in Python.html		Linear Regression in Python.html
Logistics Regression - Loan Dataset.html		Logistics Regression - Loan Dataset.html
M4W2 - Case study_SVM - Breast cancer.html		M4W2 - Case study_SVM - Breast cancer.html
MNIST Dataset.ipynb		MNIST Dataset.ipynb
Machine Learning Projects in Python.pdf		Machine Learning Projects in Python.pdf
Mukul_Chauhan_PGID_12220001 PCA (1).ipynb		Mukul_Chauhan_PGID_12220001 PCA (1).ipynb
NUMPY - 100 EXERCISES.pdf		NUMPY - 100 EXERCISES.pdf
Naive Bayes Case Study.html		Naive Bayes Case Study.html
Network_Intrusion.csv		Network_Intrusion.csv
Normal_Distribution_&_Z_Test_Test_One_Sample_&_Independent.ipynb		Normal_Distribution_&_Z_Test_Test_One_Sample_&_Independent.ipynb
PCA - Pulsar Star _ Support Vector Machines.html		PCA - Pulsar Star _ Support Vector Machines.html
Placement Bootcamp - Day 01.html		Placement Bootcamp - Day 01.html
Pratap Snacks FY20 Report.pdf		Pratap Snacks FY20 Report.pdf
Predicting Food Delivery Time - Machine Hack Case Study.ipynb		Predicting Food Delivery Time - Machine Hack Case Study.ipynb
Probability Basic Binomial Poisson and Continuous.ipynb		Probability Basic Binomial Poisson and Continuous.ipynb
Python Libraries for Interpretable Machine Learning.pdf		Python Libraries for Interpretable Machine Learning.pdf
Python Online Workout.ipynb		Python Online Workout.ipynb
README.md		README.md
Retail Store Sales Prediction.ipynb		Retail Store Sales Prediction.ipynb
SMOTE - Credit Card Fraud Detection.ipynb		SMOTE - Credit Card Fraud Detection.ipynb
Sampling_and_Confidence_Intervals.ipynb		Sampling_and_Confidence_Intervals.ipynb
Sequential Feature Selector and Clustering on Titanic Dataset (1).ipynb		Sequential Feature Selector and Clustering on Titanic Dataset (1).ipynb
Share_Price_Prediction.ipynb		Share_Price_Prediction.ipynb
SharlaGelfandProject.pdf		SharlaGelfandProject.pdf
Stacking on Boston_Dataset.ipynb		Stacking on Boston_Dataset.ipynb
Statistics - 01.ipynb		Statistics - 01.ipynb
Statistics - 02.ipynb		Statistics - 02.ipynb
Support Vector Machines.html		Support Vector Machines.html
Taxi Fare Prediction.ipynb		Taxi Fare Prediction.ipynb
Titanic Final Script.html		Titanic Final Script.html
Titanic ML with 0.80 Kaggle & RFE (1).ipynb		Titanic ML with 0.80 Kaggle & RFE (1).ipynb
Titanic ML with 0.80 Kaggle & RFE.ipynb		Titanic ML with 0.80 Kaggle & RFE.ipynb
Understanding Anova & Chi Square Test in Titanic.ipynb		Understanding Anova & Chi Square Test in Titanic.ipynb
Unsupervised Day 2.html		Unsupervised Day 2.html
Unsupervised Day 3.html		Unsupervised Day 3.html
Unsupervised Day1.html		Unsupervised Day1.html
Workathon Prediction Challenge.ipynb		Workathon Prediction Challenge.ipynb
Workathon.ipynb		Workathon.ipynb

mukul-mschauhan/Machine-Learning-Projects

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EDA, Statistics & Machine Learning Projects

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