Welcome to my AIO2024 Exercise resporitory! This repository is designed to locate my note and exercises' solutions during the course AIO 2024, an 1-year course about Artificial Intelligence and Data Science. 🚀

• Module 1: Python in AI and Data Science
  • Week 1: Basic Python
  • Week 2: Data Structures and Algorithms
  • Week 3: OOP
• Module 2: Math
  • Week 1: Numpy
  • Week 2: Linear Algebra for AI
  • Week 3: Probability for AI
  • Week 4: Statistics for AI
• Module 3: Machine Learning
  • Week 1: Data Visualization
  • Week 2: KNN, K-Means
  • Week 3: Decision Tree
  • Week 4: Random Forest, AdaBoost & Gradient Boost, SVM
  • Week 5: XGBoost
• Module 4: Optimization
  • Week 1: Linear Regression
  • Week 2: Vectorized Linear Regression
  • Week 3: Genetic Algorithms
• Module 5: Steps into Deep Learning
  • Week 1: Logistic Regression
  • Week 2: Softmax Regression
  • Week 3: Multilayer Perceptron
  • Week 4: Initializer and Optimizer in Neural Networks

1. Clone the repository:

git clone https://github.com/dinhieufam/AIO2024_Exercise.git
cd AIO2024_Exercise

2. Navigate to exercises:
   Solve problems under the exercises/ folder and refer to solutions in the solutions/ folder.

For questions or suggestions, please contact the repository owner through the GitHub Issues tab.