1-Rule Based Approach Vs ML

2-ML key Components

3-AI vs ML vs DL

1-Data Exploration introduction & Tools

2-Basic structure

3-Summary statistics

4-Data Format

5-Data Quality

1- More about Data

2-Splitting and Sampling Data

3-Data Visualization

Test your knowledge

1- Linear Regression

2- Loss Function

3- colab about the chapter

1-K-mean

2-knn

3-Decision Tree & RANDOM FORESTS

4-Colab about the chapter

5-Gradient boosting

1-Classification & Evaluation Metrics

2- let's practice

3- Regularization

4-Neural Network

5-Training Neural Networks

1- computer vision

2- CV techniques

3- Feature Engineering

4-Convolutional layer

5-Padding & Stride

6-More about Convolutional layer

7-pooling layer

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1- Data Augmentation

2- Popular Architectures & Transfer Learning

3- Introduction to object detection

1- NLP Tokenization

2- Word Representation

3- Embedding

1-Sequential Data Processing

2-RNN

3-LSTM Networks

4-convolutional network

1-Time series

2-Time series metrics

3-Preparing time series data for ML algorithms

4-Colab about the chapter

Test your knowledge

1-JAX Basics #1

2-JAX Basics #2

1-Jax Ecosystem 1

2-Jax Ecosystem 2

1- Jax with CV #2

2- Jax with CV #2

1- Jax wih NLP #1

2- Jax wih NLP #2

Test your knowledge