- NumPy
- Pandas
- Matplotlib
- Seaborn
- Capstone Project I
- Pandas Builtin Visualization
- Plotly and Cufflinks
- Geographical Plotting
- Capstone Project II
- Feature Engineering
- Dealing with Outliers
- Dealing with Missing Values
- Dealing with Categorical Data
- Linear Regression
- Housing Price Prediction
- E-commerce
- Advertising Campaign
- Polynomial Regression
- Advertising Campaign
- Regularization
- L1 - LASSO Regression
- L2 - RIDGE Regression
- L1 and L2 - Elastic Net
- Cross Validation and Grid Search
- Cross Validation with Train Test
- Cross Validation with Train Validation Test
- Cross Validation with Cross Val Score
- Cross Validation with Cross Validate
- Grid Search
- Linear Regression Project
- AMES Housing Dataset
- Logistic Regression
- Titanic Survival Prediction - Binary Classification
- Advertising Click on Ad - Binary Classification
- Hearing Loss Prediction - Binary Classification
- Heart Disease Prediction - Binary Classification
- Iris Classification - Multiclass Classification
- K Nearest Neighbors
- Gene Expression Prediction
- Sonar Prediction
- Support Vector Machines
- Breast Cancer Prediction
- Iris Classification
- Mouse Viral Infection Classification
- Concrete Slump (Regression)
- Fraud Wine Classification (Imbalance Classes)
- Decision Trees
- Penguin Specie Classification
- Random Forest
- Penguin Size Classification
- Rock Density Prediction
- Bank Note Authentication Classification
- Boosting Methods
- Mushroom Classification using Adaboost
- Mushroom Classification using Gradient Boosting
- Supervised Learning Capstone Project
- Telecom Churn Prediction
- Naive Bayes and Natural Language Processing
- Features Extraction Manually
- Features Extraction Scikit Learn
- Text Classification - Airline Tweets
- Text Classification - Movie Reviews