Free Scikit-learn Tutorial – Practical Machine Learning with Scikit-Learn
Learn multiple machine learning algorithms, data preprocessing, regression, classification, boosting, and more in under an hour with this course. Perfect for those looking to get into AI and build accurate models quickly. Join now!
Machine learning is a rapidly growing field. However, a lot of courses on the internet today do not go over some of it’s most powerful algorithms. In this course, we will learn multiple machine learning algorithms, along with data preprocessing, all in under an hour. We will go over regression, classification, component analysis and boosting all in scikit-learn, one of the most popular machine learning libraries for python.
Algorithms we’ll go over (in order):
Linear Regression
Polynomial Regression
Multiple Linear Regression
Logistic Regression
Support Vector Machines
Decision Trees
Random Forest
Principle Component Analysis
Gradient Boosting
XGBoost
Who this course is for:
- People looking to get into AI but don’t know where to start
- People who want to build accurate models as quickly as possible
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