Practice-ML

Summary:

In this repo, I share the algorithms I've trained in Machine Learning

References:

1. Linear Regression

• Simple math formula: $\mathcal{L}(w) = \frac{1}{2}$ $\sum_{i=0}^{n}$ $(y_i - \hat{x}w)^2 $

• Understand Linear Regression in VietNamese

• Linear Regression with sklearn

2. Gradient descent

• Understand Gradient descent in VietNamese

3. K-nearest neighbors (KNN)

• Understand KNN in VietNamese
• KNN with sklearn

4. Decision tree

• Decision tree with sklearn

5. Logistic Regression

• Understrand Logistic Regression in VietNamese
• Logistic Regression with sklearn

6. GridSearchCV

• Exhaustive search over specified parameter values for an estimator

I will update some Machine Learning algorithms.

!!! Updating PCA

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Enjoy with Code 😉

Harly