5 great BOOKS to learn Time Series Analysis and Forecasting in #Python #DataScience #MachineLearning #ArtificialIntelligence

"Time Series Forecasting in Python Paperback" by Marco Peixeiro It includes both traditional methods and Deep Learning using Python. amzn.to/3EBayyN

"Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods" by Ben Auffarth Includes Machine Learning, Deep Learning and Reinforcement Learning approaches. All in Python. amzn.to/3tWtQK9

"Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation" by T.A. Atwan Well structured and explains traditional and ML/DL methods. +Focus on data manipulation. amzn.to/3Vl4aCE

"Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR" by J. Korstanje In-depth cover of traditional, ML and DL approaches. All in Python. amzn.to/3V2avDe

"Machine Learning for Time Series Forecasting with Python" by Francesca Lazzeri Covers 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! Please retweet if you found it useful! Follow me @David Andrés 🤖📈🐍 if you are interested in: #Python #DataScience #TimeSeries #MachineLearning #MLOps Thanks!