Module Name | Download | Description | Download Size |
---|---|---|---|
Unit 1 | noc22-cs08_week1 | ||
Unit 2 | noc22-cs08_week2 | ||
Unit 3 | noc22-cs08_week3 | ||
Unit 4 | noc22-cs08_Week 4 |
Module Name | Download |
---|---|
noc20_cs46_assessment_id_Week_1 | noc20_cs46_assessment_id_Week_1 |
noc20_cs46_assessment_id_Week_10 | noc20_cs46_assessment_id_Week_10 |
noc20_cs46_assessment_id_Week_11 | noc20_cs46_assessment_id_Week_11 |
noc20_cs46_assessment_id_Week_12 | noc20_cs46_assessment_id_Week_12 |
noc20_cs46_assessment_id_Week_2 | noc20_cs46_assessment_id_Week_2 |
noc20_cs46_assessment_id_Week_3 | noc20_cs46_assessment_id_Week_3 |
noc20_cs46_assessment_id_Week_4 | noc20_cs46_assessment_id_Week_4 |
noc20_cs46_assessment_id_Week_5 | noc20_cs46_assessment_id_Week_5 |
noc20_cs46_assessment_id_Week_6 | noc20_cs46_assessment_id_Week_6 |
noc20_cs46_assessment_id_Week_7 | noc20_cs46_assessment_id_Week_7 |
noc20_cs46_assessment_id_Week_8 | noc20_cs46_assessment_id_Week_8 |
noc20_cs46_assessment_id_Week_9 | noc20_cs46_assessment_id_Week_9 |
Sl.No | Chapter Name | MP4 Download |
---|---|---|
1 | Introduction to data analytics | Download |
2 | Python Fundamentals - I | Download |
3 | Python Fundamentals - II | Download |
4 | Central Tendency and Dispersion - I | Download |
5 | Central Tendency and Dispersion - II | Download |
6 | Introduction to Probability- I | Download |
7 | Introduction to Probability- II | Download |
8 | Probability Distributions - I | Download |
9 | Probability Distributions - II | Download |
10 | Probability Distributions - III | Download |
11 | Python Demo for Distributions | Download |
12 | Sampling and Sampling Distribution | Download |
13 | Distribution of Sample Means, population, and variance | Download |
14 | Confidence interval estimation: Single population - I | Download |
15 | Confidence interval estimation: Single population - II | Download |
16 | Hypothesis Testing- I | Download |
17 | Hypothesis Testing- II | Download |
18 | Hypothesis Testing- III | Download |
19 | Errors in Hypothesis Testing | Download |
20 | Hypothesis Testing: Two sample test- I | Download |
21 | Hypothesis Testing: Two sample test- II | Download |
22 | Hypothesis Testing: Two sample test- III | Download |
23 | ANOVA - I | Download |
24 | ANOVA - II | Download |
25 | Post Hoc Analysis(Tukey’s test) | Download |
26 | Randomize block design (RBD) | Download |
27 | Two Way ANOVA | Download |
28 | Linear Regression - I | Download |
29 | Linear Regression - II | Download |
30 | Linear Regression - III | Download |
31 | Estimation, Prediction of Regression Model Residual Analysis | Download |
32 | Estimation, Prediction of Regression Model Residual Analysis - II | Download |
33 | MULTIPLE REGRESSION MODEL - I | Download |
34 | MULTIPLE REGRESSION MODEL-II | Download |
35 | Categorical variable regression | Download |
36 | Maximum Likelihood Estimation- I | Download |
37 | Maximum Likelihood Estimation-II | Download |
38 | LOGISTIC REGRESSION- I | Download |
39 | LOGISTIC REGRESSION-II | Download |
40 | Linear Regression Model Vs Logistic Regression Model | Download |
41 | Confusion matrix and ROC- I | Download |
42 | Confusion Matrix and ROC-II | Download |
43 | Performance of Logistic Model-III | Download |
44 | Regression Analysis Model Building - I | Download |
45 | Regression Analysis Model Building (Interaction)- II | Download |
46 | Chi - Square Test of Independence - I | Download |
47 | Chi-Square Test of Independence - II | Download |
48 | Chi-Square Goodness of Fit Test | Download |
49 | Cluster analysis: Introduction- I | Download |
50 | Clustering analysis: part II | Download |
51 | Clustering analysis: Part III | Download |
52 | Cluster analysis: Part IV | Download |
53 | Cluster analysis: Part V | Download |
54 | K- Means Clustering | Download |
55 | Hierarchical method of clustering -I | Download |
56 | Hierarchical method of clustering- II | Download |
57 | Classification and Regression Trees (CART : I) | Download |
58 | Measures of attribute selection | Download |
59 | Attribute selection Measures in CART : II | Download |
60 | Classification and Regression Trees (CART) - III | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Introduction to data analytics | Download Verified |
2 | Python Fundamentals - I | Download Verified |
3 | Python Fundamentals - II | Download Verified |
4 | Central Tendency and Dispersion - I | Download Verified |
5 | Central Tendency and Dispersion - II | Download Verified |
6 | Introduction to Probability- I | Download Verified |
7 | Introduction to Probability- II | Download Verified |
8 | Probability Distributions - I | Download Verified |
9 | Probability Distributions - II | Download Verified |
10 | Probability Distributions - III | Download Verified |
11 | Python Demo for Distributions | Download Verified |
12 | Sampling and Sampling Distribution | Download Verified |
13 | Distribution of Sample Means, population, and variance | Download Verified |
14 | Confidence interval estimation: Single population - I | Download Verified |
15 | Confidence interval estimation: Single population - II | Download Verified |
16 | Hypothesis Testing- I | Download Verified |
17 | Hypothesis Testing- II | Download Verified |
18 | Hypothesis Testing- III | Download Verified |
19 | Errors in Hypothesis Testing | Download Verified |
20 | Hypothesis Testing: Two sample test- I | Download Verified |
21 | Hypothesis Testing: Two sample test- II | Download Verified |
22 | Hypothesis Testing: Two sample test- III | Download Verified |
23 | ANOVA - I | Download Verified |
24 | ANOVA - II | Download Verified |
25 | Post Hoc Analysis(Tukey’s test) | Download Verified |
26 | Randomize block design (RBD) | Download Verified |
27 | Two Way ANOVA | Download Verified |
28 | Linear Regression - I | Download Verified |
29 | Linear Regression - II | Download Verified |
30 | Linear Regression - III | Download Verified |
31 | Estimation, Prediction of Regression Model Residual Analysis | Download Verified |
32 | Estimation, Prediction of Regression Model Residual Analysis - II | Download Verified |
33 | MULTIPLE REGRESSION MODEL - I | Download Verified |
34 | MULTIPLE REGRESSION MODEL-II | Download Verified |
35 | Categorical variable regression | Download Verified |
36 | Maximum Likelihood Estimation- I | Download Verified |
37 | Maximum Likelihood Estimation-II | Download Verified |
38 | LOGISTIC REGRESSION- I | Download Verified |
39 | LOGISTIC REGRESSION-II | Download Verified |
40 | Linear Regression Model Vs Logistic Regression Model | Download Verified |
41 | Confusion matrix and ROC- I | Download Verified |
42 | Confusion Matrix and ROC-II | Download Verified |
43 | Performance of Logistic Model-III | Download Verified |
44 | Regression Analysis Model Building - I | Download Verified |
45 | Regression Analysis Model Building (Interaction)- II | Download Verified |
46 | Chi - Square Test of Independence - I | Download Verified |
47 | Chi-Square Test of Independence - II | Download Verified |
48 | Chi-Square Goodness of Fit Test | Download Verified |
49 | Cluster analysis: Introduction- I | Download Verified |
50 | Clustering analysis: part II | Download Verified |
51 | Clustering analysis: Part III | Download Verified |
52 | Cluster analysis: Part IV | Download Verified |
53 | Cluster analysis: Part V | Download Verified |
54 | K- Means Clustering | Download Verified |
55 | Hierarchical method of clustering -I | Download Verified |
56 | Hierarchical method of clustering- II | Download Verified |
57 | Classification and Regression Trees (CART : I) | Download Verified |
58 | Measures of attribute selection | Download Verified |
59 | Attribute selection Measures in CART : II | Download Verified |
60 | Classification and Regression Trees (CART) - III | Download Verified |
Sl.No | Language | Book link |
---|---|---|
1 | English | Download |
2 | Bengali | Not Available |
3 | Gujarati | Not Available |
4 | Hindi | Not Available |
5 | Kannada | Not Available |
6 | Malayalam | Not Available |
7 | Marathi | Not Available |
8 | Tamil | Not Available |
9 | Telugu | Not Available |