Course Overview
Schedule of Classes
Start Date & End Date
May 01 2025 - Sep 30 2025
Course Curriculum
1 Subject
Machine Learning MAY 2025 Vaidhik Batch
19 Learning Materials
Pre-Recorded Sesssions
Class 1 - Introduction to AI and Machine Learning Setting up your development environment
Video
55:52
Class 2 - supervised learning project using scikit-learn during the live session.
Video
1:1:51
Class 3 - linear regression project using scikit-learn during the live session.
Video
1:049
Class 4 - Logistic regression, K-Nearest Neighbors, & model evaluation.
Video
53:50
Class 5 - classification project using scikit-learn during the live session
Video
38:19
Class 6 - decision tree project using scikit-learn during the live session.
Video
50:11
Class 7 - Random Forest: Introduction to random forests, bagging, & boosting.
Video
1:44:37
Class 8 - random forest project using scikit-learn during the live session.
Video
55:5
Class 9 - unsupervised learning project using scikit-learn during the live session.
Video
1:25:57
Class 10 - Introduction to principal com ponent analysis (PCA) (t-SNE)
Video
56:12
Class 11 - dimensionality reduction project using scikit-learn during the live session
Video
49:58
Class 12 - SVM project using scikit-learn during the live session.
Video
49:15
Class 13 -Introduction to neural networks, backpropagation algorithm, & activation functions.
Video
52:5
Class 14 -neural network project using TensorFlow during the live session
Video
32:58
Class 15 - deep learning project using TensorFlow during the live session.
Video
43:57
Class 16 -Introduction to NLP, text preprocessing, and bag-of-words model.
Video
1:13:10
Class 17 - NLP project using scikit-learn during the live session.
Video
41:40
Class 18 - time series analysis project using statsmodels during the live session.
Video
32:20
Class 19 - Ensemble Learning: Introduction to ensemble learning, bagging, boosting, and stacking.
Video
51:32
Course Instructor
Teachnook Team
567 Courses • 41580 Students
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