Machine Learning Classification Bootcamp in Python

Course Materials:

Download the course materials here.

Description

Are you ready to master Machine Learning techniques and kick-start your career as a Data Scientist?

You’re in the right place!

Machine Learning continues to be one of the most in-demand skills, with an average salary of over $114,000 in the United States (according to PayScale). In fact, the number of ML jobs has grown by nearly 600% in the last two years—and it’s expected to keep growing.

This course offers both theoretical knowledge and hands-on experience with some of the most powerful machine learning classification techniques, including:

• Logistic Regression

• Decision Trees

• Random Forest

• Naïve Bayes

• Support Vector Machines (SVM)

Throughout the course, you’ll gain practical experience by building 10 projects from scratch using real-world datasets. Some of the projects you’ll work on include:

• Creating an email spam classifier

• Performing sentiment analysis on Amazon Alexa product reviews

• Predicting Titanic passenger survival rates

• Modeling customer response to Facebook marketing ads

• Forecasting bank client retirement eligibility based on age and 401K savings

• Predicting diseases like cancer and kyphosis

• Detecting credit card fraud

Key Course Highlights:

• Over 75 HD video lectures with 11+ hours of content

• 10 practical hands-on Python projects to build your ML portfolio

• No complex math—just clear, intuitive explanations of the underlying theory

• All Jupyter notebooks and presentation slides are included

• Taught by instructors with 10+ years of industry and academic experience in machine learning and deep learning

By the end of this course, you’ll have mastered essential machine learning classification models and be equipped to apply these skills to solve real-world problems confidently.

Learning Paths:

This course is part of the following learning paths:

• Data Scientist