HaninSh/Machine_Learning_Insights

ML insights from "Microsoft Machine Learning course" with Digital Egypt Pioneers Initiatives (DEPI) ## Machine Learning Insights As part of my journey in Machine Learning course with Digital Egypt Pioneers Initiative (DEPI), I decided to summarize and illustrate some of the main topics and share them! ### Table of Content 1. Covariance Matrix 2. Eigenvalues & eigenvectors 3. Intro to Pandas 4. Data preprocessing - Handling Null values & Duplicates - Data Visualization & Plotting - Data Imputation - Handling outliers - Categorical Encoding - Data Scaling Techniques - Handling Imbalanced Data - Dimensionality Reduction - Feature Extraction - Feature Selection - Example on preprocessing pipeline 5. Machine Learning - Intro to ML ### Extra Resources - Review All Documents: Click here - More examples on Kaggle: Click here