Machine Learning with Python - From Basics to Advanced Models
Master the fundamentals and advanced techniques of machine learning with Python.
Sign up for a comprehensive journey into the field of machine learning.
Starting with fundamental concepts like linear regression and k-nearest neighbors, the course gradually progresses to more complex models such as neural networks and ensemble methods.
You’ll learn to use powerful Python libraries like scikit-learn, TensorFlow, and Pandas to build, train, and evaluate machine learning algorithms.
Each section is packed with practical examples, ensuring you not only understand the theory but also apply it to real-world datasets.
This course focuses on end-to-end model development—from data preprocessing and feature engineering to model validation and optimization.
You’ll work through projects like predictive analytics and image classification, giving you the skills to build your own machine learning solutions.
Whether you aim to become a data scientist or want to add machine learning to your existing skill set, this course equips you with the tools and knowledge needed to excel in the field.
Your Instructor
This bundle is a collaborative effort between multiple Mammoth Instructors.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 14 years, Mammoth Interactive has built a global student community with 6+ million courses sold. Mammoth Interactive has released over 1,000 courses and 5,000 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.