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Batch 42 - Masters in Data Science (Pb)
16 august
16 august (164:59)
Assignment
Book 1
Book 2
22nd August
22nd August (78:22)
demo presentation
datascience.pdf
assignment
23rd August
23rd August (166:36)
29th August
29th August (171:16)
30th August
30th August (184:22)
5th Sept
5th Sept (157:37)
Sample - superstore.xls
SourceDataf.xlsx
6th Sept
6th Sept (132:44)
Data Science Forecasting Case Study.pdf
HR-Employee-Attrition.csv
11. Practice Activity Number 3.html
12. Practice Activity Number 4.html
12th Sept
12th Sept (150:43)
13th Sept
13th Sept (141:46)
Case Study based on Statistical Analysis - Assignement 2.pdf
7. Practice Activity Number 5.html
7. Practice Activity Number 6.html
Carbo Fitness Data (1).csv
19 September
19 September (87:43)
Python pdf
Python Assignment
20 September
20 September (148:30)
python assignment 2
Sensor Data Analysis
Manufacturing Project
27 September
27 September (106:56)
3 October
3 October (130:31)
4 October
4 October (108:02)
10 October
Part 1 (106:06)
Part 2 (29:57)
11 October
11 October (123:49)
18 October
18 October (104:29)
31 october
31 october (121:14)
regression
machine learning.pdf
1 November
1 November (124:51)
Companies assignment - Data.pdf
regression
7 November
7 November (126:20)
PolyNomial Regression_Batch42.ipynb
21 November
21 November (115:35)
case study
classification.ipynb
hackathon mapping file
hackathon working data
hackathon ideal data
22 November
22 November (125:20)
Logistic Regression
Classification.ipynb
KNN
Assignment Financial analysis
2018_financialdata
28 November
28 November (102:02)
Decision tree and random forest classifier
Decision tree and random forest
Logistic Regression and Classification, Confusion Matrix.pdf
29 November
29 November (128:46)
5 December
5 December (124:24)
15 december
15 december (99:23)
19 December
19 December (117:13)
20 December
20 December (142:15)
final files
sample resume1
sample resume 2
interview questions
PolyNomial Regression_Batch42.ipynb
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