This Machine Learning Full Course for Beginners by Intellipaat is your step-by-step guide to building a strong foundation in machine learning and data science. You’ll begin with Python and Pandas for data analysis, followed by data visualization using Matplotlib. From there, dive deep into the core ML concepts like regression (linear & logistic), decision trees, random forests, and K-Means clustering.
Throughout the course, you’ll explore topics such as machine learning myths, evaluation metrics, VIF, log(odds), sigmoid function, and encoding techniques. With hands-on practice and real-world examples, you’ll not only learn how these algorithms work but also how to implement and fine-tune them effectively. By the end, you’ll be equipped to build, evaluate, and deploy your own machine learning models—perfect for kickstarting your career in tech or data science.
Below are the topics covered in Machine Learning Course For Beginners
00:00:00 – Introduction to Machine Learning Course
00:00:56 – Python for Data Science
00:03:57 – Pandas for Data Science
01:10:00 – Data Visualization with Matplotlib
02:02:24 – Machine Learning Around You
02:09:08 – Introduction to Machine Learning
02:29:33 – Machine Learning Myths
02:43:02 – Types of Machine Learning
02:58:05 – What You Can Do with Machine Learning
03:04:08 – What is Regression?
03:13:40 – Types of Regression
03:15:25 – What is Linear Regression?
03:45:41 – Evaluation Metrics
03:56:38 – Variance Inflation Factor (VIF)
04:01:28 – VIF Formula
04:11:34 – Linear Regression Hands-on
05:07:29 – Machine Learning Intro (Recap)
05:08:00 – Introduction to Logistic Regression
05:27:43 – What is Logistic Regression?
05:31:07 – Example: Spam Email Classifier
05:31:33 – Step 01: Independent Variables & Common Spam Words
05:33:31 – Step 02: Probability
05:40:08 – Understanding Log(Odds)
05:44:28 – Sigmoid Function
05:47:55 – Individual Likelihood & Log(Likelihood)
05:49:44 – What Does Log(Odds) Mean?
05:50:55 – What Does Sigmoid Function Mean?
06:10:00 – Maximum Likelihood Estimate
06:20:12 – Step 04: Likelihood of Data
07:09:14 – Logistic Regression Hands-on
07:10:14 – Label Encoding / One Hot Encoding
07:21:54 – Decision Tree
07:36:30 – Random Forest
07:49:32 – Theory of Decision Tree
07:51:54 – Decision Tree Terminology
08:09:34 – Theory of Random Forest
08:26:32 – Important Hyperparameters in Random Forest
08:37:45 – Hands-on: Random Forest
09:00:12 – Data Visualization
09:03:05 – Model Building
09:08:23 – Hyperparameter Tuning
09:24:00 – Model Evaluation
09:29:31 – K-Means Clustering
10:24:42 – 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 [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930
source