A repository showcasing my Data Science and Machine Learning projects.
This repository is a collection of my work in data science and machine learning, categorized into 3 folders:
Data Analysis (DA)
Data Science (DS)
The DS
folder contains projects focused on data exploration, analysis, and visualization using techniques like:
- Data cleaning and preprocessing
- Statistical analysis
- Data visualization with libraries like Matplotlib, Seaborn, etc.
Machine Learning and Artificial Intelligence (ML-AI)
The ML-AI
folder encompasses projects involving machine learning algorithms and artificial intelligence techniques, including:
- Supervised learning (classification, regression)
- Unsupervised learning (clustering, dimensionality reduction)
- Deep learning (neural networks)
Each project within these folders has its own README file with specific details about the problem addressed, the approach taken, results achieved, and code used.
Feel free to explore the project folders and learn more!