Welcome to the 100+ Exercises – Python – Data Science – scikit–learn course where you can test your Python programming skills in machine learning, specifically in scikit–learn package.
Topics you will find in the exercises:
preparing data to machine learning models
working with missing values, SimpleImputer class
classification, regression, clustering
splitting data into train and test set
MAE – Mean Absolute Error
MSE – Mean Squared Error
dimensionality reduction, PCA analysis
This course is designed for people who have basic knowledge in Python, numpy, pandas and scikit–learn. It consists of over 100 exercises with solutions. This is a great test for people who are learning machine learning and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.
If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.
Specification: 100+ Exercises – Python – Data Science – scikit-learn – 2022