Machine Learning - JNTUH R22

Access syllabus, important questions, and study materials for Machine Learning designed for B.Tech CSE students.

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Important Questions - ML

Unit 1

Introduction to ML, Applications, Types

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Unit 2

Regression Algorithms, Performance

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Unit 3

Classification Techniques, Decision Trees

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Unit 4

Unsupervised Learning, Clustering

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Unit 5

Ensemble Models & Model Selection

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Previous Year Questions - ML

2022 Regular

ML Introduction, Regression

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2023 Supply

Clustering and KNN Algorithms

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JNTUH Portal

Official Download Link

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Reference Notes - ML

Unit 1 Notes

Overview of ML & Learning Types

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Unit 2 Notes

Linear & Logistic Regression

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Unit 3 Notes

Classification, Naive Bayes

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Unit 4 Notes

K-Means, DBSCAN

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Unit 5 Notes

Ensemble Models: Bagging, Boosting

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