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.
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Linear Regression Model & Assumptions Click Here
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Big Mart Sales Project - EDA & Outlier Treatment Click Here
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Predicting Sales - EDA, Feature Engineering & Machine Learning Model Click Here
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Hypothesis Testing (One Sample & Two Sample T-Test) Click Here
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Understanding Anova & Chi Square Test Click Here
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One Way & Two Way Anova Examples Click Here
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Black Friday Purchase Price Prediction - ML Models Click Here
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Regularization Models (Ridge, Lasso & Elastic Net) Click Here
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Healthcare Analytics - EDA, Feature Engineering & Machine Learning Model Click Here
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Insurance Claim Prediction Problem - EDA, Feature Engineering & Machine Learning Model Click Here
- Understanding Data Science Using IPL Dataset Click Here
- Exploratory Data Analysis on Netflix Click Here