Welcome to my machine learning practice repository! This collection of Python notebooks captures my journey as I explore various machine learning concepts and techniques.
This repository serves as a learning playground for machine learning enthusiasts. Inside, you'll find notebooks covering topics such as:
- Data preprocessing
- Exploratory data analysis (EDA)
- Supervised learning algorithms
- Unsupervised learning techniques
- Evaluation metrics
- Model deployment
- Deep Learning
Feel free to explore the notebooks and use them as a resource for your own machine learning journey.
To make the most of this repository, clone it to your local machine
- Telecom churn prediction
- Adult database EDA
- Retreival Augmented Generation (RAG)
- Time series forecasting using airline data
- Fashion image classification
- Movie recommendation system
Some projects will be listed under unnamed because they consist of a single Jupyter notebook.
Credits.
I will have to credit the mlcourse website for providing such a good course and materials for practice.