Channel: Coding Tech

Category: Education

Tags: random walkpythonforecastingtime series

Description: Check out Marco Peixeiro's book 📖 Time Series Forecasting in Python | mng.bz/95Mr 📖 To save 40% on Marco's book use the DISCOUNT CODE ⭐ watchpeixeiro40 ⭐ Join Marco in this introductory lesson on time series forecasting in Python. Marco explores the random walk model, MA(q) and AR(p) models., as well as the foundational concept of stationarity, and how to use the ACF and PACF plots for forecasting. 📚📚📚 Time Series Forecasting in Python | mng.bz/95Mr To save 40% off this book use discount code: watchpeixeiro40 📚📚📚 About the book: Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You’ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you’re done, you’ll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem. About the author: Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada’s largest banks. He is an active contributor to Towards Data Science, an instructor on Udemy, and on YouTube in collaboration with freeCodeCamp.