Collection of useful Python scripts for Machine Learning and Deep Learning tasks, including Kaggle solutions, MOOC exercises, and practical implementations.
- Classification
- Regression
- Statistics
- Clustering
- Time Series
- Deep Learning
- Natural Language Processing (NLP)
- Recommendations
- Deployment
- Contributing
- License
Machine learning classification algorithms and solutions.
Location: classification/
Regression models and Kaggle competition solutions.
Location: regression/
Essential tools for statistical analysis: comparing medians, means, and data distributions for statistical significance.
Location: statistics/
Useful cases and implementations for clustering tasks.
Location: clustering/
Time series analysis and forecasting implementations.
Location: time series regression/
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Anomaly Detection – Detection algorithms with Medium article
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Deep Learning Approach – Neural network models for time series
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ARIMA – Classical statistical methods
PyTorch, FastAI, and Keras implementations.
Location: DEEP LEARNING/
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Autoencoders & GANs
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Image Classification
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- Kaggle solutions
- Segmentation Pipeline with Medium article
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PyTorch Tutorials – From scratch implementations
Text processing and NLP models.
Location: DEEP LEARNING/NLP/
Recommendation systems and collaborative filtering.
Location: recommendations/
Production deployment examples using Docker.
Location: deployment/
Curated collection of learning resources.
Location: books, articles/
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
- Telegram: @ai_tablet
- GitHub: @diyago
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.