My projects and implementations from the 01Edu AI track, covering mathematics, statistics, machine learning, algorithms, and applied data science.
Fundamental mathematical and statistical operations implemented in Python.
Topics
- Mean
- Median
- Variance
- Standard deviation
- Percentiles
- Data analysis
Statistical analysis and linear relationships between variables.
Topics
- Linear statistics
- Correlation
- Regression concepts
- Statistical calculations
- Data visualization
Implementation and exploration of linear regression using generated datasets.
Topics
- Linear regression
- Model fitting
- Regression coefficients
- Predictions
- Residuals
- Mean Squared Error (MSE)
- Noise and its effect on regression
An algorithmic programming project focused on implementing a solution from a defined problem specification.
📁 guess-it
An extended version of the Guess It project with additional problem-solving requirements.
Exploration and implementation of matrix factorization techniques used in machine learning.
Topics
- Matrices
- Matrix decomposition
- Factorization
- Numerical computation
- Machine learning applications
📁 matrix-factorization-project
Exploration of spectral methods used in machine learning and data analysis.
Topics
- Linear algebra
- Eigenvalues and eigenvectors
- Spectral methods
- Machine learning
A machine learning project focused on predicting credit-related outcomes from financial data.
Topics
- Data preprocessing
- Feature engineering
- Classification
- Model training
- Model evaluation
Development and analysis of trading strategies using S&P 500 market data.
Topics
- Financial data
- Market analysis
- Trading strategies
- Technical indicators
- Strategy evaluation
Backtesting trading strategies against historical S&P 500 data to evaluate their performance.
Topics
- Historical market data
- Backtesting
- Strategy performance
- Returns
- Risk analysis
- Python
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- Jupyter Notebook
- Git
AI/
├── backtesting-sp500/
├── credit-scoring/
├── guess-it/
├── guess-it-2/
├── linear-regression/
├── linear-stats/
├── math-skills/
├── matrix-factorization-project/
├── sp500-strategies/
└── spectral-learning-project/
The projects cover several areas of AI and machine learning:
Mathematics
↓
Statistics
↓
Linear Algebra
↓
Machine Learning
↓
Applied Machine Learning
↓
Financial Machine Learning
This repository contains my work through the 01Edu AI track, with each project focused on implementing and understanding a specific concept through practical programming.
The goal is to build strong foundations in the mathematics, algorithms, and machine learning techniques required for developing AI systems.
Afolabi Adewale Adeniyi
AI/ML Engineer | Engineering | Scientific Machine Learning