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David AndrΓ©s πŸ€–πŸ“ˆπŸ

David AndrΓ©s πŸ€–πŸ“ˆπŸ
@daansan_ml

Nov 24
7 tweets
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5 great πŸ“š BOOKS to learn πŸ“ˆ Time Series Analysis and Forecasting in #Python 🐍 πŸ§΅πŸ‘‡πŸ‘‡πŸ‘‡ #DataScience #MachineLearning #ArtificialIntelligence

πŸ“˜"Time Series Forecasting in Python Paperback" by Marco Peixeiro πŸ”Ž It includes both traditional methods and Deep Learning using Python. amzn.to/3EBayyN
πŸ“˜"Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods" by Ben Auffarth πŸ”ŽIncludes Machine Learning, Deep Learning and Reinforcement Learning approaches. All in Python. amzn.to/3tWtQK9
πŸ“˜"Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation" by T.A. Atwan πŸ”ŽWell structured and explains traditional and ML/DL methods. +Focus on data manipulation. amzn.to/3Vl4aCE
πŸ“˜"Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR" by J. Korstanje πŸ”ŽIn-depth cover of traditional, ML and DL approaches. All in Python. amzn.to/3V2avDe
πŸ“˜"Machine Learning for Time Series Forecasting with Python" by Francesca Lazzeri πŸ”ŽCovers the whole process. Totally recommended! amzn.to/3i2pBKm
There are many more, let me know if you like these lists and want more content like this! πŸ˜‰ Please πŸ”retweet if you found it useful! Follow me @David AndrΓ©s πŸ€–πŸ“ˆπŸ if you are interested in: 🐍 #Python πŸ“Š #DataScience πŸ“ˆ #TimeSeries πŸ€– #MachineLearning πŸ›  #MLOps Thanks! πŸ˜‰
David AndrΓ©s πŸ€–πŸ“ˆπŸ

David AndrΓ©s πŸ€–πŸ“ˆπŸ

@daansan_ml
πŸ’Ό Data Scientist β€’ πŸ€– Machine Learning β€’ Writing about πŸ“ˆ Time Series in 🐍 Python
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