Machine Learning

This repository contains various machine learning algorithms implemented in Python. Each algorithm includes a Jupyter Notebook demonstrating its application and explanation of the concepts.

📁 Contents

• 1. Supervised Learning — Models like linear regression, svm, knn, decision tree, etc.
• 2. Unsupervised Learning — Models like Kmeans, etc.
• 3. Ensembles — Models like random forest, gradient boosting, adaboost, etc.
• 3. Dimensionally Reduction — Models like PCA, LDA, etc.

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🛠️ Requirements

Ensure you have the following libraries installed:

• Python 3.x
• NumPy
• Pandas
• Scikit-learn
• Matplotlib
• Jupyter Notebook
• TensorFlow
• Keras

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🚀 Installation

1. Clone the repository:

   git clone https://github.com/Sumit0ubey/Machine_learning.git