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

#machinelearningcourse #machinelearningfullcourse #machinelearningtutorial #intellipaat

🔥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.

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

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

Highly Recommended Courses

Explore top skills

In-demand Careers

Popular Topics

Creative Skills

Business Skills