COURSE
Machine Learning in Python: Intermediate
Dive more into Machine Learning
In this course, you'll learn Machine Learning with Python, including multi-class classification, linear regression, k-means clustering, gradient descent and neural networks.
By the end of this course, you'll be able to:
Course Info:
Machine Learning in Python: Intermediate
Intermediate
The average completion time for this course is 10-hours.
This course requires a premium subscription and includes four missions and one guided project. It is the 21st course in the Data Scientist in Python path.
Learn Intermediate Machine Learning Techniques
Logistic Regression
Learn the basics of logistic regression and classification.
Introduction to Evaluating Binary Classifiers
Learn how to evaluate a classification model.
Multiclass Classification
Learn how to use logistic regression with multiple categories.
Overfitting
Learn how to detect overfitting and about the bias-variance tradeoff.
Clustering Basics
Learn how to use clustering to group senators using voting patterns.
K-Means Clustering
Learn to create and interpret scatter plots to explore relationships between variables.
Predicting the Stock Market
Use machine learning techniques to predict the price of the SP500.