Multiple regression as a machine learning algorithm with full implementation in Python using Sci-kit Learn module

Previously I wrote a couple of pieces on multivariate modeling but they both focused on time series forecasting. If curious, go ahead and check out the posts on vector autoregression and panel data modeling. Writing on multivariate regression (i.e. multiple linear regression) was always on my list but something else was on its way — I started a series on anomaly detection techniques! Once started that series, I could not stop until I wrote 11 consecutive posts. Today I’m back with multiple regression and here’s the plan — first I’ll define in broad terms what a multiple regression is, and then list some real-world use cases as examples. The second part is going to be a rapid implementation of multiple regression in Python, just to give a broad intuition. In the third part, I’ll dive a bit deeper following the typical machine learning workflow. I’ll end with some additional points to keep in mind while implementing linear regression

machine-learning python regression scikit-learn data-science

Applied Data Analysis in Python Machine learning and Data science, we will investigate the use of scikit-learn for machine learning to discover things about whatever data may come across your desk.

🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

6 Best Python IDEs for Data Science & Machine Learning [2021] - An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program

Introduction An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program. 6 Best Python IDEs for Data Science & Machine Learning [2021]

Scikit-Learn Cheat Sheet 2021, Python for Data Science. The absolute basics for beginners learning Scikit-Learn in 2021. Scikit-Learn is built on NumPy, SciPy, and Matplotlib. Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression, clustering algorithms, and efficient tools for data mining and data analysis.