/machine_learning_crash_course

Interactive Machine Learning Tutorials

Primary LanguageJupyter NotebookMIT LicenseMIT

Machine Learning Crash Course

Interactive Machine Learning Applications

Requirements

  • pip
  • conda
  • python 3.6

Installation

conda create --name ml_cc_env python=3.6 # create environment
source activate ml_cc_env
pip install -r requirements.txt

Lessons

  1. 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
  2. Predict Breast Cancer with Logistic Regression
    • Notebook Location: notebooks/lesson_2_predict_breast_cancer.ipynb
    • Covers the innerworkings of binary logistic regression

Resources

Great Beginner Machine Learning Courses

Citations

Diagrams and images are from the following course. Andrew Ng's Machine Learning Course