Interactive Machine Learning Applications
- pip
- conda
- python 3.6
conda create --name ml_cc_env python=3.6 # create environment
source activate ml_cc_env
pip install -r requirements.txt
- Predict Boston Housing Prices with Linear Regression
- Notebook Location: notebooks/lesson_1_predict_boston_housing_prices.ipynb
- Covers the innerworkings of univariate and multivariate linear regression
- Covers Gradient Descent and Normal Equation Algorithms
- Predict Breast Cancer with Logistic Regression
- Notebook Location: notebooks/lesson_2_predict_breast_cancer.ipynb
- Covers the innerworkings of binary logistic regression
- Andrew Ng's Machine Learning Course](https://www.coursera.org/learn/machine-learning)
Diagrams and images are from the following course. Andrew Ng's Machine Learning Course