README.md

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