Artificial Intelligence
Chapter 1: Programming
- Introduction to AI.
- Getting started with python & installing required programs
- Structured programming with python.
- Data Structures.
- OOP & how to use it in AI .
- Software Engineering basics .
- Regular Expressions .
- Web Scrapping .
Final project $ Evaluation
Chapter 2: Data Science
- Intro to data science .
- Mathematics 1: Algebra
- Mathematics 2: statistics and probability .
- Mathematics 3: calculus .
- Numpy .
- Pandas .
- Matplotlib .
Final projects
Chapter 3: Machine Learning
- Intro to machine learning.
- Regression basics
- Advanced regression
- Binary classification.
- Multi classification
- Feature engineering .
- Clustering .
- Cross validation , PCA and grid search .
Final projects
Chapter 4: Deep Learning.
- Intro to deep learning.
- ANN
- CNN
- RNN, GRU and LSTM
- Pre-trained modes
Final project
