CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
C2-Machine Learning(PE-IV)-VII-2021-22
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Course data
General
Course End Survey Link
Announcements
Slip Test-1
Assignment-1
Slip Test-2
Unit-IV and Unit-V Online video links
Assignment-2
Previous paper 2020
Previous paper - 2019
Online Links
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Intro to Machine Learning_03.08.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Machine Learning Process_04.08.2021_10:20 to 11:20
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Feature Engineering_06.08.2021_10:20 to 11:20
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Machine Learning Paradigms_11.08.2021_10:20 to 11:20
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Introduction to Linear regression_13.08.2021_10:20 to 11:20
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Linear Regression using OLS method_13.08.2021_04:00 to 05:00
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Problems on Simple Linear Regression _17.08.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Linear Regression using Gradient Descent Approach_18.08.2021_10:20 to 11:20
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Linear Regression Model Evaluation Metrics_25.08.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Polynomial Linear Regression_27.08.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_TradeOff between bias and variance_30.08.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Regularization , Ridge , Lasso and Elastic Net _01.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Huber,Isotonic,Bayesian and Robust Regression_06.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Logistic Regression_07.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Sigmoid function and Logistic Regression_08.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Elements Of Machine Learning and Feature Selection Techniques_18.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Classification Metrics_23.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_naïve bayes algorithm_24.09.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Implementation of Naïve Bayes_01.10.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Spam classifier and Document Classification_05.10.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Introduction to ensemble methods_08.10.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Bagging,Boosting and Stacking_12.10.2021_11:30 to 12:30
AY2021-22_UG_VII_CSE2_Machine Learning_18CSE18_IS_Implementation of Ensemble methods. Compartive study on all classification algorithms_13.10.2021_11:30 to 12:30
Unit-1
UNIT-I
Unit-2
Linear Regression PPT and Code
Logistic Regression PPT and Code
Unit-3
Naive Bayes Code and PPT
Decision trees and ensemble learning
SVM Resources
Unit-4
Kmeans
Hierarchical
DBSCAN-Spectral
KNN
Unit-IV PPT ( Text book point of view)
Deep Learning, Tensorflow PPT and Notebook
Unit-V
Unit-V PPT
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C2-Machine Learning(PE-IV)-VII-2021-22
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Home
Courses
Computer Science and Engineering
UG
Academic Year - 2021-22
VII Semester
C2-Machine Learning(PE-IV)-VII-2021-22
Summary
C2-Machine Learning(PE-IV)-VII-2021-22
Teacher:
Smt. I. Srujana Assistant Professor
Skill Level
:
Beginner