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https://github.com/subhrajit77/ai-ml
My personal AI/ML projects repository
https://github.com/subhrajit77/ai-ml
jupyter numpy pandas python
Last synced: 6 days ago
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My personal AI/ML projects repository
- Host: GitHub
- URL: https://github.com/subhrajit77/ai-ml
- Owner: subhrajit77
- License: mit
- Created: 2024-08-21T18:11:17.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-12T08:02:57.000Z (about 1 month ago)
- Last Synced: 2024-10-12T14:42:11.111Z (about 1 month ago)
- Topics: jupyter, numpy, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# π€ AI/ML Projects Repository
Welcome to my AI/ML projects repository! This is a collection of personal projects where I will be exploring, implementing, and experimenting with various artificial intelligence and machine learning techniques.
## π Overview
This repository serves as a portfolio of my journey in AI/ML, featuring:
- **π Machine Learning Algorithms**: Implementations of popular algorithms such as linear regression, decision trees, random forests, support vector machines, and more.
- **π§ Deep Learning Models**: Projects using neural networks, including convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs) for sequence modeling.
- **π Natural Language Processing (NLP)**: Experiments in text classification, sentiment analysis, language modeling, and more.
- **πΌοΈ Computer Vision**: Image classification, object detection, and other visual recognition tasks.
- **π¬ Data Science**: End-to-end projects involving data cleaning, exploration, feature engineering, model training, and evaluation.
- **π Research and Development**: Exploratory projects inspired by recent advancements in AI/ML, including custom models and innovative approaches to problem-solving.## πGetting Started
To get started with any of the projects:
1. Clone this repository to your local machine:
```bash
git clone https://github.com/subhrajit77/AI-ML.git
2. Navigate to the project directory you're interested in.
3. Follow the instructions in the project's README file to set up the environment, download necessary datasets, and run the code.## π οΈ Dependencies
Each project may have its own set of dependencies, which are typically managed using **requirements.txt** files or **environment.yml** files for conda environments. Please refer to the specific projectβs documentation for detailed setup instructions.## π€ Contributions
While this is a personal repository, I welcome suggestions, improvements, or collaboration opportunities. Feel free to fork this repository, open issues, or submit pull requests.## π License
This repository is licensed under the MIT License. See the LICENSE file for more details.