Machine Learning with Python: A Practical Introduction

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Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

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About The Course

This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You’ll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.

We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed!

Most importantly, you will transform your theoretical knowledge into practical skills using hands-on labs. Get ready to do more learning than your machine!

What Will You Learn

Buy Now Machine Learning with Python: A Practical Introduction

Course Contents

Module 1 - Introduction to Machine Learning

Applications of Machine Learning-Supervised vs Unsupervised Learning-Python libraries suitable for Machine Learning

Module 2 - Regression

Linear Regression-Non-linear Regression-Model evaluation methods

Module 3 - Classification

K-Nearest Neighbour-Decision Trees- Logistic Regression-Support Vector Machines-Model Evaluation

Module 4 - Unsupervised Learning

K-Means Clustering-Hierarchical Clustering-Density-Based Clustering

Module 5 - Recommender Systems

Content-based recommender systems-Collaborative Filtering


No prior machine learning knowledge or experience is required for this course. However, having a basic understanding of Python programming concepts and familiarity with data analysis and statistics will be beneficial. The course is designed to introduce machine learning concepts and techniques from a beginner's perspective.

The availability of certificates depends on the course provider or platform. Many online machine learning courses offer certificates of completion that verify your participation and successful completion of the course. These certificates can be a valuable addition to your resume and showcase your understanding of machine learning concepts and practical skills.

Yes, many machine learning courses, including practical introduction courses, are available online. Online courses offer the advantage of flexibility, allowing you to learn from anywhere and at your own pace. You can typically access course materials, video tutorials, coding exercises, and projects through an online learning platform.

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  1. karthik

    very good

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    Machine Learning with Python: A Practical Introduction
    Machine Learning with Python: A Practical Introduction


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