Welcome to the Machine Learning with Python GitHub repository! This repository contains a collection of machine learning projects and resources that will help you learn and apply various machine learning techniques using Python.
Machine Learning is a branch of AI that focuses on building algorithms that can learn from and make predictions on data. Machine learning algorithms are used in a variety of fields, from healthcare to finance to retail.
Python is one of the most popular programming languages for machine learning. It has a simple syntax, an extensive library of machine learning tools, and a large and active community of developers. Python also has several powerful machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
This repository contains a variety of machine learning projects and resources that will help you learn and apply different machine learning techniques using Python. The projects in this repository are categorized by machine learning topics such as supervised learning, unsupervised learning, and deep learning.
If you would like to contribute to this repository, please feel free to submit a pull request. We welcome contributions from anyone who is interested in machine learning and Python.
Machine Learning with Python is an exciting field that is rapidly evolving. This repository is a great resource for anyone who wants to learn more about machine learning and Python. We hope that you find this repository useful and that it helps you on your journey to becoming a machine learning expert.
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- Machine Learning Tutorial for Beginners
- Linear Regression with Python
- Machine Learning Roadmap
- Machine Learning with PyCaret
- Feature Engineering
- Feature Selection
- PCA
- t-SNE
- Pipeline
- Cross-Validation
- Grid Search
- Ensemble Learning - Voting
- Ensemble Learning - Bagging
- Ensemle Learning - AdaBoost
Happy learning ... ✌️