Theoretical concepts of Machine Learning
using Python's sklearn library
4.23 (31 reviews)
3,098
students
1.5 hours
content
Oct 2022
last update
FREE
regular price
What you will learn
Students will learn about the types of machine learning addressed in Python's library, sklearn.
Students will learn about supervised learning.
Students will learn about semi-supervised learning.
Students will learn about unsupervised learning.
Students will learn about sklearn's models used in supervised learning, semi-supervised learning and unsupervised learning.
Students will learn about dimensionality reduction and sklearn functions that adress this.
Students will learn about feature selection and sklearn functions that address this.
Students will learn about data preprocessing and sklearn functions that address this.
Students will learn about hyperparameter tuning and sklearn functions that address this.
Students will learn about goodness of fit tests and sklearn functions that address this.
Screenshots
Related Topics
4940018
udemy ID
10/22/2022
course created date
11/1/2022
course indexed date
Bot
course submited by