Machine Learning Full Course FREE (2026) | Machine Learning Course For Beginners | Intellipaat

Get ready to dive deep into the world of Machine Learning with this complete step-by-step course by Intellipaat! Starting from the basics of Python and Pandas, you’ll progress toward advanced topics like Regression, Classification, Decision Trees, Random Forests, and Clustering all explained through real-world examples and hands-on projects. This course not only covers the theoretical concepts but also helps you understand the math behind ML, including topics like evaluation metrics, VIF, and logistic regression functions. By the end, you’ll know how to build, tune, and evaluate ML models confidently.

Whether you’re a beginner in data science or aiming to become a Machine Learning Engineer in 2025, this course gives you everything you need from fundamentals to advanced implementations.

Access the Machine Learning Notebook using this link: https://forms.gle/fYCTDPwdenN3mYyP7

Below are the topics covered in Machine Learning Course For Beginners
00:00:00 – Introduction to Machine Learning Course
00:00:38 – Python for Data Science
00:03:39 – Pandas for Data Science
01:09:42 – Data Visualization with Matplotlib
02:02:06 – Machine Learning Around You
02:08:50 – Introduction to Machine Learning
02:29:15 – Machine Learning Myths
02:42:44 – Types of Machine Learning
02:57:47 – What You Can Do with Machine Learning
03:03:50 – What is Regression?
03:13:22 – Types of Regression
03:15:07 – What is Linear Regression?
03:45:23 – Evaluation Metrics
03:56:20 – Variance Inflation Factor (VIF)
04:01:10 – VIF Formula
04:11:16 – Linear Regression Hands-on
05:07:11 – Machine Learning Intro (Recap)
05:07:42 – Introduction to Logistic Regression
05:27:25 – What is Logistic Regression?
05:30:49 – Example: Spam Email Classifier
05:31:15 – Step 01: Independent Variables & Common Spam Words
05:33:13 – Step 02: Probability
05:39:50 – Understanding Log(Odds)
05:44:10 – Sigmoid Function
05:47:37 – Individual Likelihood & Log(Likelihood)
05:49:26 – What Does Log(Odds) Mean?
05:50:37 – What Does Sigmoid Function Mean?
06:09:42 – Maximum Likelihood Estimate
06:19:54 – Step 04: Likelihood of Data
07:08:56 – Logistic Regression Hands-on
07:09:56 – Label Encoding / One Hot Encoding
07:21:36 – Decision Tree
07:36:12 – Random Forest
07:49:14 – Theory of Decision Tree
07:51:36 – Decision Tree Terminology
08:09:16 – Theory of Random Forest
08:26:14 – Important Hyperparameters in Random Forest
08:37:27 – Hands-on: Random Forest
08:59:54 – Data Visualization
09:02:47 – Model Building
09:08:05 – Hyperparameter Tuning
09:23:42 – Model Evaluation
09:29:13 – K-Means Clustering
10:24:24 – ML IQ

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🔥Enroll for Intellipaat’s Machine Learning Course: https://intellipaat.com/machine-learning-certification-training-course/

➡️ About the Course
Gain expertise in Artificial intelligence and Machine Learning through an Executive Post Graduate Certification program in AI and ML offered by iHUB DivyaSampark, a Technology Innovation Hub of IIT Roorkee, in collaboration with Intellipaat This AI and ML program is in collaboration with tech giants Microsoft. Get classes and guidance directly from IIT Faculty and industry experts, with personalized 1:1 mentorship. Become IIT certified AI and ML expert with this online BootCamp.

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