This repository serves as a space to store and document my learning journey in the field of Machine Learning. It contains various materials and experiments I have conducted while exploring different techniques and methods in Machine Learning, from data preprocessing to exploratory data analysis.
The repository is organized into several folders, each containing specific materials related to different aspects of Machine Learning. You will find scripts, notebooks, and other supporting materials that discuss various essential techniques in data processing and analysis.
The primary goal of this repository is to provide an accessible resource for me to review and refresh my knowledge in Machine Learning. I hope it can also serve as a useful resource for others interested in learning about the same topics.
I welcome contributions from anyone interested in sharing knowledge in Machine Learning, whether it's through script improvements, adding new methods, or providing interesting datasets to explore.
This project is licensed under the MIT License.
Please visit each folder to see more details about what I have learned and developed in the field of Machine Learning!