class-MachineLearning

• implementing machine learning techniques just using python & numpy.
• Contents : Linear Regression, Logistic Regression, Descent Gradient, Forward Propagation, Backward Propagation, Chain-rule, Regularization, Text-Classification

Overview

1. Development Environment
2. Linear Regression
3. Visualization Gradient Descent on Linear Regression
4. Linear Regression with multiple variables
5. Logistic Regression for linear classification
6. Logistic Regression for non-linear classification
7. Logistic regression with Regularization
8. Forward Propagation in the Neural Networks
9. Multi-label classification using Neural Networks
10. Multi-label classification using Neural Networks with a Regularization
11. Text classification using Neural Networks, Project : "Movie Review sentiment classification - Positive or Negative"

1. Development Environment

• IDE : Google Colab & Jupyter Notebook
• OS : Windows10
• Language : Python

2. Linear Regression

3. Visualization Gradient Descent on Linear Regression

4. Linear Regression with multiple variables

5. Logistic Regression for linear classification

6. Logistic Regression for non-linear classification

7. Logistic regression with Regularization

8. Forward Propagation in the Neural Networks

9. Multi-label classification using Neural Networks

10. Multi-label classification using Neural Networks with a Regularization

11. Text classification using Neural Networks

Project : "Movie Review sentiment classification - Positive or Negative"