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Predictions with statsmodels in Python Template

Description:The following Predictions with statsmodels in Python template shows how to solve a multiple linear regression problem and make predictions based on your own data. At the end of thе notebook, you will learn how to create a dataframe summarizing you findings. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook. Some other related topics are Predictions with standardized Coefficients with sklearn Python, Linear Regression Model in Python - predictions versus targets, Visualizing Linear Regressions with matplotlib Python. You can now download the Python template for free. Predictions with statsmodels in Python is among the topics covered in detail in the 365 Data Science program.

Hristina Hristova
Course Author

Who is it for

This is an open-access Python template in .ipynb format that will be useful for anyone who wants to work as a Data Analyst, Data Scientist, Business Analyst, Statistician, Software Engineer, and anyone who works with Python.

How it can help you

The reason why machine learning algorithms are built in the first place is to make predictions. This is exactly what this template aims to show.

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Predictions with statsmodels in Python Template