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July 2022 – Data Science Master Class
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Course Content
EDA
Visualization and EDA
00:00
Probability and Statistics -1
Probability and Statistics – 1
00:00
Probability and Statistics -2
Probability and Statistics – 2
00:00
Probability and Statistics – 3 & Linear Algebra – Introduction
Probability and Statistics – 3 and Linear Algebra Intro
00:00
Linear Algebra & KNN
KNN
00:00
KNN and Case Study
KNN and Case Study
01:44:08
Various Cases
Various Cases
02:18:00
Various Cases – 2
01:05:00
Performance Metric
Performance Metrics
01:49:00
NLP
NLP
01:43:00
Naive Bayes
NB-1
01:15:00
Naive Bayes – Case Study
01:28:00
Naive Bayes – Case Study – 2
01:04:00
Linear Regression
Linear Regrssion – 1
01:42:00
Linear Regression -2 (Case Study)
01:25:00
Logistic Regression
Logistic Regression -1
58:12
Logistic Regression -2
45:00
Logistic Regression – Case Study
48:00
SVM
SVM 1
00:00
SVM 2
00:00
Decision Tree
Decision Tree
00:00
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