Module NameDownload
noc20_cs36_assigment_1noc20_cs36_assigment_1
noc20_cs36_assigment_2noc20_cs36_assigment_2
noc20_cs36_assigment_3noc20_cs36_assigment_3
noc20_cs36_assigment_4noc20_cs36_assigment_4


Sl.No Chapter Name MP4 Download
1Introduction to Python for Data ScienceDownload
2Introduction to Python Download
3Introduction to Spyder - Part 1Download
4Introduction to Spyder - Part 2Download
5Variables and DatatypesDownload
6OperatorsDownload
7Jupyter setupDownload
8Sequence_data_part_1Download
9Sequence_data_part_2Download
10Sequence_data_part_3Download
11Sequence_data_part_4Download
12NumpyDownload
13Reading dataDownload
14Pandas Dataframes IDownload
15Pandas Dataframes IIDownload
16Pandas Dataframes IIIDownload
17Control structures & FunctionsDownload
18Exploratory data analysisDownload
19Data Visualization-Part IDownload
20Data Visualization-Part IIDownload
21Dealing with missing dataDownload
22Introduction to Classification Case StudyDownload
23Case Study on Classification Part IDownload
24Case Study on Classification Part IIDownload
25Introduction to Regression Case StudyDownload
26Case Study on Regression Part IDownload
27Case Study on Regression Part IIDownload
28Case Study on Regression Part IIIDownload
29Module : Predictive ModellingDownload
30Linear RegressionDownload
31Model AssessmentDownload
32Diagnostics to Improve Linear Model FitDownload
33Cross ValidationDownload
34Classification Download
35Logistic RegressionDownload
36K - Nearest Neighbors (kNN)Download
37K - means ClusteringDownload
38Logistic Regression ( Continued )Download
39Decision TreesDownload
40Multiple Linear RegressionDownload

Sl.No Chapter Name English
1Introduction to Python for Data ScienceDownload
To be verified
2Introduction to Python Download
To be verified
3Introduction to Spyder - Part 1Download
To be verified
4Introduction to Spyder - Part 2Download
To be verified
5Variables and DatatypesDownload
To be verified
6OperatorsDownload
To be verified
7Jupyter setupPDF unavailable
8Sequence_data_part_1PDF unavailable
9Sequence_data_part_2PDF unavailable
10Sequence_data_part_3PDF unavailable
11Sequence_data_part_4PDF unavailable
12NumpyPDF unavailable
13Reading dataPDF unavailable
14Pandas Dataframes IPDF unavailable
15Pandas Dataframes IIPDF unavailable
16Pandas Dataframes IIIPDF unavailable
17Control structures & FunctionsPDF unavailable
18Exploratory data analysisPDF unavailable
19Data Visualization-Part IPDF unavailable
20Data Visualization-Part IIPDF unavailable
21Dealing with missing dataPDF unavailable
22Introduction to Classification Case StudyPDF unavailable
23Case Study on Classification Part IPDF unavailable
24Case Study on Classification Part IIPDF unavailable
25Introduction to Regression Case StudyPDF unavailable
26Case Study on Regression Part IPDF unavailable
27Case Study on Regression Part IIPDF unavailable
28Case Study on Regression Part IIIPDF unavailable
29Module : Predictive ModellingPDF unavailable
30Linear RegressionPDF unavailable
31Model AssessmentPDF unavailable
32Diagnostics to Improve Linear Model FitPDF unavailable
33Cross ValidationPDF unavailable
34Classification PDF unavailable
35Logistic RegressionPDF unavailable
36K - Nearest Neighbors (kNN)PDF unavailable
37K - means ClusteringPDF unavailable
38Logistic Regression ( Continued )PDF unavailable
39Decision TreesPDF unavailable
40Multiple Linear RegressionPDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available