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https://github.com/shimul-zahan/ml-bootcamp

A personal learning repository for mastering Machine Learning concepts and techniques. It includes practical projects, hands-on exercises, and solutions covering topics such as regression, classification, neural networks, NLP, and more, using Python and popular ML libraries like scikit-learn, TensorFlow, and pandas.
https://github.com/shimul-zahan/ml-bootcamp

classification data-science deep-learning machine-learning machine-learning-algorithms neural-networks nlp-machine-learning projects regression

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A personal learning repository for mastering Machine Learning concepts and techniques. It includes practical projects, hands-on exercises, and solutions covering topics such as regression, classification, neural networks, NLP, and more, using Python and popular ML libraries like scikit-learn, TensorFlow, and pandas.

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README

          

# ML Bootcamp

Welcome to the **ML Bootcamp** repository! This repository is a personal learning hub where I document my progress, projects, and notes related to Machine Learning. It includes hands-on exercises, code snippets, and solutions to various ML problems as I explore different concepts and techniques.

## About

This repository serves as a learning and practice space for foundational and advanced Machine Learning topics. By building projects and solving practical problems, I aim to strengthen my understanding of:

- Data preprocessing and feature engineering
- Supervised and unsupervised learning algorithms
- Deep learning concepts and neural networks
- Natural language processing (NLP)
- Time series forecasting and clustering techniques

## Topics Covered

- Linear Regression and Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- Neural Networks and Deep Learning
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTMs
- Text Classification and Sentiment Analysis
- Data Visualization and EDA (Exploratory Data Analysis)

## Tools and Technologies

- Python
- Jupyter Notebooks
- Scikit-Learn
- TensorFlow / Keras
- pandas
- NumPy
- Matplotlib / Seaborn

## How to Use

1. Clone the repository:
```bash
git clone https://github.com/yourusername/ML-Bootcamp.git
```
2. Navigate to the project folder:
```bash
cd ML-Bootcamp
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Explore project folders and notebooks for learning materials.

## Contribution

This repository is primarily for personal learning, but suggestions and improvements are welcome. Feel free to fork, explore, and build upon it.

## License

This repository is licensed under the MIT License.