alexhegit / handson-ml2Links
https://github.com/ageron/handson-ml2
☆248Updated 3 years ago
Alternatives and similar repositories for handson-ml2
Users that are interested in handson-ml2 are comparing it to the libraries listed below
Sorting:
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- Code Repository for The Kaggle Book, Published by Packt Publishing☆2,307Updated last month
- Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)☆11Updated 8 years ago
- https://github.com/jakevdp/PythonDataScienceHandbook.git☆177Updated 5 years ago
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆29,843Updated last year
- Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)☆695Updated 2 weeks ago
- Code for the online course "Deployment of Machine Learning Models"☆885Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆409Updated 2 years ago
- Note for Aurélien Géron's 2019 book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition"☆49Updated 4 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,484Updated 5 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆290Updated 3 years ago
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques t…☆1,013Updated last year
- Interpretable Machine Learning with Python, published by Packt☆475Updated this week
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆770Updated 7 months ago
- Datasets used in the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow☆156Updated 5 months ago
- ☆617Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆346Updated last year
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆139Updated last year
- notebooks that are used at calmcode.io☆331Updated 4 years ago
- Python Data Analysis, Third Edition, Published by Packt☆208Updated this week
- An Introduction to Statistical Learning with Applications in PYTHON☆557Updated 4 years ago
- Contains the note for the Approaching(Almost) any Machine Learning Problem by Abhishek Thakur.☆81Updated 5 years ago
- Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning☆522Updated 3 years ago
- Practical Full-Stack Machine Learning☆707Updated 2 years ago
- Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt☆216Updated this week
- ☆535Updated 4 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆451Updated last year
- code and data for the time series analysis vids on my YouTube channel☆765Updated last year
- Hyperparameter Tuning with Python☆187Updated this week