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Time Series Forecasting Using Multiple Linear Regression Model!! In this beginner-friendly tutorial, we start a complete time series forecasting project using Python. This project is divided into two parts to make learning simple and step-by-step. In Part 1 (this video), you will learn: What time series data is Why forecasting is important in real-world industries The overall project workflow How to understand and visualize time-based data What stationarity means How to check stationarity using statistical tests This video focuses on building a strong foundation before moving into model building. 📌 For part 2, please check our full project- https://www.aionlinecourse.com/ai-pro... So if you're new to time series or forecasting, this is the perfect place to start! Skills You’ll Learn ✔ Time series basics ✔ Data understanding for forecasting ✔ Stationarity concept ✔ Workflow of a forecasting project 🛠 Tools Used Python Pandas Matplotlib Statsmodels Comment below if you want the dataset and notebook file used in this project. Don’t forget to Like, Share, and Subscribe for Part 2, where we start building forecasting models! #machinelearning #aiprojects #aionlinecourse #artificialintelligence #deeplearning #regression #mlmodels #mlbasics