Files

01-About-This-Course
02-Machine-Learning-Basics
03-Jupyter-Notebook-Numpy-and-Matplotlib
04-kNN
05-Linear-Regression
- 03-Simple-Linear-Regression-Implementation
- 04-Vectorization
- 05-Regression-Metrics-MSE-vs-MAE
  - playML
    - SimpleLinearRegression.py
    - __init__.py
    - kNN.py
    - metrics.py
    - model_selection.py
    - preprocessing.py
  - 05-Regression-Metrics-MSE-vs-MAE.ipynb
- 06-R-Squared
- 08-Our-Linear-Regression
- 09-Regression-in-scikit-learn
- 10-More-about-Linear-Regression
- Chapter-05-watermarked.pdf
06-Gradient-Descent
07-PCA-and-Gradient-Ascent
08-Polynomial-Regression-and-Model-Generalization
09-Logistic-Regression
10-Classification-Performance-Measures
11-SVM
12-Decision-Tree
13-Ensemble-Learning-and-Random-Forest
Optional-01-Using-Pandas
.gitignore
README.md
qrcode.jpg

playML

This branch is 20 commits behind liuyubobobo/Play-with-Machine-Learning-Algorithms:master.

Name		Name	Last commit message	Last commit date
parent directory ..
SimpleLinearRegression.py		SimpleLinearRegression.py
__init__.py		__init__.py
kNN.py		kNN.py
metrics.py		metrics.py
model_selection.py		model_selection.py
preprocessing.py		preprocessing.py