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Faculty : Mr. Sachin S. Doddamani
Course Co-ordinator : Mrs. Rashmi K T
HOD : Mrs. Ragini Krishna, ISE
Class overview
Everyone talks about AI today, but what forms the basis of and drives the core of all the AI's out there? It's Machine Learning, simply put. It may not seem simple on the first look, but in this course, we shall learn core mechanism of all the main algorithms. And we shall learn each concept with its applications, hands on sessions and a lot of fun.
Machine Learning(BCS602) - Theory
Text Book :
AIML Sridhar Text book .pdfIA -2 IMP Questions
Module 1
Class PPT/Notes :
ML_Module_1_Complete.pptxQuestion Bank
6th_Module_1_Question_Bank.docxModule -2
Class PPT/Notes :
ML_Module_2_Complete.pptxQuestion Bank :
Module 2 QB ML BCS602.docxModule -3
Class PPT/Notes :
ML_Module3_Complete.pptxQuestion Bank :
ML_16_Mod3_4_LWR.pptxClass PPT/Notes :
ML_16_Mod3_7_Decision Trees.pptxQuestion Bank :
Module 3 QB ML BCS602.docxModule -4
Bayesian Learning Notes
ML_Mod4_1_Bayesian Learning.pptxANN Notes :
ML_Mod4_2_ANN.pptxQuestion Bank Module 4
Module 4 QB ML BCS602.docxModule -5
Clustering Notes
ML_Mod5_1_Clustering.pptxReinforcement Learning Notes:
ML_Mod4_2_ANN.pptxQuestion Bank Module 5
Module 5 QB ML BCS602.docxVTU Model / Previous Question Papers
VTU Model QP :
Model VTU question paper BCS602.pdfJune / July 2025 :
PYQ BCS602-June-July 2025.pdfJune / July 2025 (Make up Exam) :
PYQ BCS602 Makeup Exam June-July 2025.pdfJune / July 2025 (Make up Exam) :
Machine Learning Lab (BCSL606)
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