March 8, 2020

271 words 2 mins read



Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

repo name curiousily/Deep-Learning-For-Hackers
repo link
language Jupyter Notebook
size (curr.) 23157 kB
stars (curr.) 110
created 2019-04-24
license MIT License

🐱‍💻 Hacker’s Guide to Machine Learning with Python

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery:

Read the book here

📖 Read for FREE

The whole book can be read using the links below. Each part contains a notebook that you can find in this repository.

Consider buying the book if you want to support my work. Thanks for stopping by! 🤗

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