Building machine learning algorithms from the ground up in Python.
This will be an ongoing project and I aim to cover the following:
- Linear Regression ✅
- Logistic Regression ✅
- K-Nearest Neighbors (KNN) ✅
- Principal Component Analysis (PCA)
- Decision Trees ✅
- Random Forests
- Naive Bayes ✅
- K-Means
- Support Vector Machine (SVM)
- Neural Network
