DeepSeek : DeepSeek models explained | ChatGPT vs DeepSeek

Dr Vaani Srikanth

DeepSeek : DeepSeek models explained | ChatGPT vs DeepSeek

8 months ago - 15:05

Lecture 60: Bias vs tradeoff|Ridge vs Lasso vs ElasticNet Regularization| L1 penalty| L2 penalty|VTU

Dr Vaani Srikanth

Lecture 60: Bias vs tradeoff|Ridge vs Lasso vs ElasticNet Regularization| L1 penalty| L2 penalty|VTU

4 months ago - 13:37

Lecture 54: Problem on Linear regression using matrix form

Dr Vaani Srikanth

Lecture 54: Problem on Linear regression using matrix form

5 months ago - 3:46

Lecture 55: Problem on Linear regression|machinelearning|VTU|bds602|bcs602|bcm601|bai601

Dr Vaani Srikanth

Lecture 55: Problem on Linear regression|machinelearning|VTU|bds602|bcs602|bcm601|bai601

5 months ago - 2:56

Lecture 27: Python Pandas: Concatenate  data frames  , series and NumPy arrays

Dr Vaani Srikanth

Lecture 27: Python Pandas: Concatenate data frames , series and NumPy arrays

9 months ago - 8:34

Lecture 31: Z-testing | BCM601|BDS602|BCS602

Dr Vaani Srikanth

Lecture 31: Z-testing | BCM601|BDS602|BCS602

6 months ago - 11:54

Lecture 3: Machine learning concept

Dr Vaani Srikanth

Lecture 3: Machine learning concept

9 months ago - 23:41

Module 4: Organizing files | BPLCK105B | 205B

Dr Vaani Srikanth

Module 4: Organizing files | BPLCK105B | 205B

8 months ago - 30:38

Lecture 19: Find IQR | IQR|BCM601|BCS502|BDS602|module1

Dr Vaani Srikanth

Lecture 19: Find IQR | IQR|BCM601|BCS502|BDS602|module1

6 months ago - 3:46

Lecture 42: Classical vs adaptive ML systems|Learning types|bcm601|bds602|bai602|bcs602

Dr Vaani Srikanth

Lecture 42: Classical vs adaptive ML systems|Learning types|bcm601|bds602|bai602|bcs602

5 months ago - 6:49

Lecture 14: UNIVARIATE DATA ANALYSIS & VISUALIZATION| bar |pie chart|histogram|bcm601|bds602|bcs602

Dr Vaani Srikanth

Lecture 14: UNIVARIATE DATA ANALYSIS & VISUALIZATION| bar |pie chart|histogram|bcm601|bds602|bcs602

7 months ago - 7:14

Lecture 29: Parzen Window| BDS602|BC602| BCM601|machine learning|non parametric vs parametric models

Dr Vaani Srikanth

Lecture 29: Parzen Window| BDS602|BC602| BCM601|machine learning|non parametric vs parametric models

6 months ago - 14:29

Lecture 5: MACHINE LEARNINGPROCESS CRISP-DM | VTU | BCS602 | BDS602 | BCM601

Dr Vaani Srikanth

Lecture 5: MACHINE LEARNINGPROCESS CRISP-DM | VTU | BCS602 | BDS602 | BCM601

7 months ago - 7:25

Lecture 41:What is Learning|Types of Learning|Tom Mitchell definition of learning|BCM601|BDS602|VTU

Dr Vaani Srikanth

Lecture 41:What is Learning|Types of Learning|Tom Mitchell definition of learning|BCM601|BDS602|VTU

5 months ago - 17:12

Lecture 72: Clustering – Part 2|Key Problems associated with clustering of large data: Solved

Dr Vaani Srikanth

Lecture 72: Clustering – Part 2|Key Problems associated with clustering of large data: Solved

4 months ago - 4:30

Module 3: Quick revision – Reading and Writing Files

Dr Vaani Srikanth

Module 3: Quick revision – Reading and Writing Files

8 months ago - 50:41

Lecture 31:Module5| Python Class & Objects| mutable objects| aliasing | Copy module|__str__ method

Dr Vaani Srikanth

Lecture 31:Module5| Python Class & Objects| mutable objects| aliasing | Copy module|__str__ method

9 months ago - 20:13

Lecture 28: Python Pandas : Data Aggregation

Dr Vaani Srikanth

Lecture 28: Python Pandas : Data Aggregation

9 months ago - 21:10

Lecture 26: Maximum Likelihood estimation (MLE)

Dr Vaani Srikanth

Lecture 26: Maximum Likelihood estimation (MLE)

6 months ago - 15:35

Lecture 34: Chi square test |BDS602|BCM601|BCS602|BAI602|hyppthesis testing

Dr Vaani Srikanth

Lecture 34: Chi square test |BDS602|BCM601|BCS602|BAI602|hyppthesis testing

6 months ago - 8:40

Lecture 65: Problem: Apply C4.5 algorithm for set of continuous values for attribute CGPA|Discretize

Dr Vaani Srikanth

Lecture 65: Problem: Apply C4.5 algorithm for set of continuous values for attribute CGPA|Discretize

4 months ago - 9:03

Lecture 18: Problems |COVARIANCE | CORRELATION|PEARSON CORRELATION COEFFICIENT|BDS602|BCS602|BCM601

Dr Vaani Srikanth

Lecture 18: Problems |COVARIANCE | CORRELATION|PEARSON CORRELATION COEFFICIENT|BDS602|BCS602|BCM601

7 months ago - 5:15

Lecture 6: Machine Learning Applications | BCM601 | BDS602 | BCS602 | VTU|BAI602

Dr Vaani Srikanth

Lecture 6: Machine Learning Applications | BCM601 | BDS602 | BCS602 | VTU|BAI602

7 months ago - 5:52

bcs602 Model Question Paper|VTU|BCS602

Dr Vaani Srikanth

bcs602 Model Question Paper|VTU|BCS602

4 months ago - 1:27

Lecture 70: TYPES OF NAÏVE BAYES CLASSIFIER|Force Bayes|Problem on Bayes optimal classifier|bcs602

Dr Vaani Srikanth

Lecture 70: TYPES OF NAÏVE BAYES CLASSIFIER|Force Bayes|Problem on Bayes optimal classifier|bcs602

4 months ago - 7:49

Lecture 30: Hypothesis testing | BCM601|BDS602|BCS602|VTU

Dr Vaani Srikanth

Lecture 30: Hypothesis testing | BCM601|BDS602|BCS602|VTU

6 months ago - 21:24

Lecture 64: How to build decision tree using C4.5 algorithm|C4.5 decision tree algorithm|ML|BCS602

Dr Vaani Srikanth

Lecture 64: How to build decision tree using C4.5 algorithm|C4.5 decision tree algorithm|ML|BCS602

4 months ago - 22:49

Lecture 26: Merge data frames in Pandas

Dr Vaani Srikanth

Lecture 26: Merge data frames in Pandas

9 months ago - 12:13

Lecture 67: Naive Bayes theorem & problem|BCM601|BDS602|BCS602|BAI602

Dr Vaani Srikanth

Lecture 67: Naive Bayes theorem & problem|BCM601|BDS602|BCS602|BAI602

4 months ago - 16:34

Lecture 35: Difference between correlation and covariance | variance vs correlation vs correlation

Dr Vaani Srikanth

Lecture 35: Difference between correlation and covariance | variance vs correlation vs correlation

6 months ago - 10:26

Lecture 74: Clustering – Part 4|Problem on Single linkage clustering or Min algorithm|bcs602|bds602

Dr Vaani Srikanth

Lecture 74: Clustering – Part 4|Problem on Single linkage clustering or Min algorithm|bcs602|bds602

4 months ago - 13:30

Lecture 33: T-test| Hypothesis test|independent t-test|paired test|sample test|bds602|bcs602|bcm601

Dr Vaani Srikanth

Lecture 33: T-test| Hypothesis test|independent t-test|paired test|sample test|bds602|bcs602|bcm601

6 months ago - 12:11

Lecture 27: Gaussian mixture model & Expectation-Maximization algorithm(EM)

Dr Vaani Srikanth

Lecture 27: Gaussian mixture model & Expectation-Maximization algorithm(EM)

6 months ago - 20:25

Lecture 73: Clustering – Part 3|HIERARCHICAL CLUSTERING|agglomerative algorithms|TYPES OF LINKAGE

Dr Vaani Srikanth

Lecture 73: Clustering – Part 3|HIERARCHICAL CLUSTERING|agglomerative algorithms|TYPES OF LINKAGE

4 months ago - 8:18

Lecture 59: Problem on Logistic Regression|Module 3|VTU|BDS602|BCS602|BAI602|BCM601

Dr Vaani Srikanth

Lecture 59: Problem on Logistic Regression|Module 3|VTU|BDS602|BCS602|BAI602|BCM601

4 months ago - 4:16

Module 3: Models QP and PyQPs with answers | BDS306B

Dr Vaani Srikanth

Module 3: Models QP and PyQPs with answers | BDS306B

9 months ago - 43:10

Lecture 79: Numerical on K-means algorithm with algorithm |BCM601|BDS602|BCS6-2|BAI60k-means|VTU

Dr Vaani Srikanth

Lecture 79: Numerical on K-means algorithm with algorithm |BCM601|BDS602|BCS6-2|BAI60k-means|VTU

4 months ago - 19:45

Lecture 15: Skewness, Kurtosis, Mean absolute deviation,coefficient of varation|BCM601|BDS602|BCS602

Dr Vaani Srikanth

Lecture 15: Skewness, Kurtosis, Mean absolute deviation,coefficient of varation|BCM601|BDS602|BCS602

7 months ago - 7:53

Lecture 20: Five point summary and Box plot with problem solving|BCM601|BDS602|BCS602

Dr Vaani Srikanth

Lecture 20: Five point summary and Box plot with problem solving|BCM601|BDS602|BCS602

6 months ago - 9:52

Lecture 3:Types of Machine Learning | BDS602|BCS602|VTU|BAI602

Dr Vaani Srikanth

Lecture 3:Types of Machine Learning | BDS602|BCS602|VTU|BAI602

7 months ago - 32:42