Module NameDownload
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Week_02_Assignment_02Week_02_Assignment_02
Week_03_Assignment_03Week_03_Assignment_03
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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
7Lists Part -1Download
8Lists Part -2Download
9TuplesDownload
10DictionaryDownload
11SetsDownload
12Numpy Part -1Download
13Numpy Part -2Download
14MatrixDownload
15Linear algebra Part -1Download
16Linear algebra Part -2Download
17Reading dataDownload
18Pandas Dataframes IDownload
19Pandas Dataframes IIDownload
20Pandas Dataframes IIIDownload
21Control structures & FunctionsDownload
22Exploratory data analysisDownload
23Data Visualization-Part IDownload
24Data Visualization-Part IIDownload
25Dealing with missing dataDownload
26Module : Predictive ModellingDownload
27Linear RegressionDownload
28Model AssessmentDownload
29Diagnostics to Improve Linear Model FitDownload
30Multiple Linear RegressionDownload
31Cross ValidationDownload
32ClassificationDownload
33Logistic RegressionDownload
34Logistic Regression ( Continued )Download
35Performance MeasuresDownload
36K - Nearest Neighbors (kNN)Download
37K - means ClusteringDownload
38Decision TreesDownload
39Introduction to Classification Case StudyDownload
40Case Study on Classification Part IDownload
41Case Study on Classification Part IIDownload
42Introduction to Regression Case StudyDownload
43Case Study on Regression Part IDownload
44Case Study on Regression Part IIDownload
45Case Study on Regression Part IIIDownload

Sl.No Chapter Name English
1Introduction to Python for Data SciencePDF unavailable
2Introduction to Python PDF unavailable
3Introduction to Spyder - Part 1PDF unavailable
4Introduction to Spyder - Part 2PDF unavailable
5Variables and DatatypesPDF unavailable
6OperatorsPDF unavailable
7Lists Part -1PDF unavailable
8Lists Part -2PDF unavailable
9TuplesPDF unavailable
10DictionaryPDF unavailable
11SetsPDF unavailable
12Numpy Part -1PDF unavailable
13Numpy Part -2PDF unavailable
14MatrixPDF unavailable
15Linear algebra Part -1PDF unavailable
16Linear algebra Part -2PDF unavailable
17Reading dataPDF unavailable
18Pandas Dataframes IPDF unavailable
19Pandas Dataframes IIPDF unavailable
20Pandas Dataframes IIIPDF unavailable
21Control structures & FunctionsPDF unavailable
22Exploratory data analysisPDF unavailable
23Data Visualization-Part IPDF unavailable
24Data Visualization-Part IIPDF unavailable
25Dealing with missing dataPDF unavailable
26Module : Predictive ModellingPDF unavailable
27Linear RegressionPDF unavailable
28Model AssessmentPDF unavailable
29Diagnostics to Improve Linear Model FitPDF unavailable
30Multiple Linear RegressionPDF unavailable
31Cross ValidationPDF unavailable
32ClassificationPDF unavailable
33Logistic RegressionPDF unavailable
34Logistic Regression ( Continued )PDF unavailable
35Performance MeasuresPDF unavailable
36K - Nearest Neighbors (kNN)PDF unavailable
37K - means ClusteringPDF unavailable
38Decision TreesPDF unavailable
39Introduction to Classification Case StudyPDF unavailable
40Case Study on Classification Part IPDF unavailable
41Case Study on Classification Part IIPDF unavailable
42Introduction to Regression Case StudyPDF unavailable
43Case Study on Regression Part IPDF unavailable
44Case Study on Regression Part IIPDF unavailable
45Case Study on Regression Part IIIPDF unavailable


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