TRACK 13•Machine Learning Track•INTERMEDIATE

Classification Algorithms

Name: Classification Algorithms
Price: 2799.00 INR
Availability: InStock

k-NN, Naive Bayes, Decision Trees, Random Forest, and SVM — with theory and code.

Algorithms from ScratchReal-World Datasets & ExperimentsFull Syllabus Access

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Instructor

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10 Modules

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10 Lessons & Labs

Enrollment1-Year Full Access

₹2,799

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1-Year full access to all 10 modules & labs

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Overview & Outcomes

Course Learning Objectives

Master classification algorithms from k-NN to SVMs. Understand decision boundaries, entropy, information gain, kernel methods, and build classifiers with Scikit-learn.

Core Curriculum Competencies

What you'll master

Logistic Regression: odds, logit & sigmoid activation
Decision Trees: entropy, Gini impurity & information gain
Support Vector Machines (SVMs): margins, kernels & soft boundaries

K-Nearest Neighbors (KNN) & Naive Bayes classifiers

Evaluation: Confusion Matrix, Precision, Recall, F1-Score & ROC-AUC

Multi-class classification & imbalanced dataset handling (SMOTE)

Syllabus & Modules

Course Curriculum

A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.

Module 1: k-Nearest Neighbors (k-NN)

1 Lessons

1.1k-Nearest Neighbors (k-NN)READING

Module 2: Naive Bayes Classifier

1 Lessons

2.1Naive Bayes ClassifierREADING

Module 3: Decision Trees: Entropy & Information Gain

Locked

3.1Decision Trees: Entropy & Information GainREADING

Module 4: Gini Impurity & Splitting Criteria

Locked

4.1Gini Impurity & Splitting CriteriaREADING

Module 5: Random Forest

Locked

5.1Random ForestREADING

Module 6: Support Vector Machines (SVM)

Locked

6.1Support Vector Machines (SVM)READING

Full Syllabus Gated (8+ Modules)

Unlock Full Curriculum & Labs

Enroll to unlock all 10 modules, 10 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.

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Lead Instructor & Mentor

Instructor

Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.