Machine Learning in Python

Sharpening your predictive modelling skills to differentiate you as a data scientist instead of a data analyst; covering regressions, classifications, and clustering.

With Iliya Valchanov

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Course Overview

Machine Learning in Python builds upon the statistical knowledge you have gained earlier in the program. This course focuses on predictive modelling and enters multidimensional spaces which require an understanding of mathematical methods, transformations, and distributions. Moreover, we will introduce these concepts, as well as complex means of analysis such as clustering, factoring, Bayesian inference, and decision theory, while also allowing you to exercise your Python programming skills.

72 High Quality Lessons

20 Practical Tasks

5 Hours of Video

Certificate of Achievement

Skills you will gain

data analysismachine learningprogrammingpythontheory

What You'll Learn

This course is focused on predictive modelling with multiple different approaches such as linear regression, logistic regression, and cluster analysis. It allows you to exercise your Python skills as the theory is backed by a lot of practice.

Learn the fundamentals of predictive modelling

Understand the theory behind linear regression

Perform linear regression with sklearn

Grasp logistic regression

Approach cluster analysis

Implement K-means clustering