Machine Learning 101 with Sklearn and Stats Models

Machine Learning 101 with Sklearn and Stats Models

365 Careers
Updated Jul 19, 2024
Course Description

Course Overview

Machine Learning is one of the fundamental skills you need to become a data scientist. It is the stepping stone that will help you understand deep learning and modern data analysis techniques. Take advantage of not one but two of the best machine learning libraries – StatsModels and sklearn. Learn linear regression, logistic regression and cluster analysis.


Target Audience

  • Aspring data scientists
  • Anyone who wants to get acquainted with the fundamental machine learning models
  • Anyone who is just getting started with ML and wants to gradually build up valuable skills.


Learning Objectives

  • You will gain confidence when working with 2 of the leading ML packages - statsmodels and sklearn.
  • You will learn how to perform a linear regression.
  • You will become familiar with the ins and outs of a logistic regression.
  • You will excel at carrying out cluster analysis (both flat and hierarchical).
  • You will learn how to apply your skills to real-life business cases.
  • You will be able to comprehend the underlying ideas behind ML models.


Business Outcomes

Get people started with machine learning.