PacktPublishing / Deep-Learning-for-Time-Series-Data-CookbookLinks
B21145 - Deep Learning for Time Series Data Cookbook
☆66Updated 3 months ago
Alternatives and similar repositories for Deep-Learning-for-Time-Series-Data-Cookbook
Users that are interested in Deep-Learning-for-Time-Series-Data-Cookbook are comparing it to the libraries listed below
Sorting:
- Modern Time Series Forecasting with Python 2E, Published by Packt☆157Updated last month
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆52Updated 3 weeks ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆105Updated 2 years ago
- Machine Learning for Time-Series with Python.Published by Packt☆292Updated 3 months ago
- Modern Time Series Forecasting with Python, published by Packt☆529Updated 3 months ago
- Time Series Analysis with Python Cookbook, published by Packt☆280Updated 3 months ago
- Time Series Analysis and Forecasting in Python☆181Updated last year
- Forecasting: principles and practice in python☆180Updated 2 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆188Updated last year
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆60Updated 3 months ago
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆73Updated 3 years ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆43Updated last week
- ☆55Updated 2 months ago
- Forecasting: Principles and Practice☆60Updated 4 years ago
- ☆555Updated last year
- The Regularization Cookbook, published by Packt☆14Updated 6 months ago
- Forecasting Time Series Data with Prophet- Second Edition, published by Packt☆33Updated 3 months ago
- Time Series Forecasting using Deep Learning, published by BPB Publications☆40Updated 3 years ago
- ☆37Updated 4 years ago
- Timeseries for everyone☆259Updated 2 years ago
- ☆163Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆88Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated 3 months ago
- Interpretable ML with Python, 2E - published by Packt☆98Updated 3 months ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆33Updated 3 months ago
- Code repository for the course "Forecasting with Machine Learning Models"☆23Updated 5 months ago
- ☆44Updated last month
- Forecasting lectures and tutorials using Python☆126Updated 7 years ago
- Machine Learning for Time-Series with Python.Published by Packt☆21Updated last year
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆33Updated 2 months ago