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Batch 66 - Master's In Data Science (AM)
7 August
7 August (159:11)
Introduction session pdf
13 August
13 August (181:13)
13 August zip file
14 August
14 August - part 1 (22:00)
14 August - part 2 (183:38)
14 August zip file
20 August
20 August (187:12)
20 August zip
21 August
21 August (186:04)
21 August zip
27 August
27 August (186:39)
27 August zip
28 August
28 August (192:43)
28 August zip
Assignment on loops
3 September
3 September (213:33)
3 September zip
4 September
4 September (197:42)
4 September zip
10 September
10 September (190:19)
10 September zip
11 September
11 September (183:29)
11 September zip
17 September
17 September (183:34)
17 September file
18 September
18 September (197:17)
18 September zip file
Python Interview Preparation Booklet
Hypothesis Testing Assignment 1
24 September
24 September (183:22)
t test and chi squared test
25 September
25 September (116:54)
25 September file
1 October
1 October (135:37)
9 October
9 October (108:34)
9 October zip
15 October
15 October (195:38)
ML Basics
16 October
16 October (28:13)
22 October
22 October (172:02)
Linear regression
23 October
23 October (185:38)
23 October zip
Project
5 November
5 November (199:15)
5 November zip
6 November
6 November (184:43)
6 November zip
12 November
12 November (191:31)
12 November zip
13 November
13 November (184:41)
13 November zip
Project
19 November
19 November (61:38)
20 November
20 November (198:15)
26 November
26 November (176:42)
27 November
27 November (188:39)
27 November.zip
3 December
3 December (177:10)
3 December zip
10 December
10 December (236:02)
10 December file
project 2 details
breast cancer dataset
11 December
11 December (239:56)
11 December file
17 December
17 December (257:56)
17 December file
18 December
18 December (236:39)
18 December file
SQL and Excel reference material
SQL and Excel reference material
Career Building Session
Career Building Session (126:24)
Handy tips for Aspiring Data Scientist to make a resume
Sample Resume 1
Sample Resume 2
Sample Interview Questions
If you are asked in interview to ask questions
Company wise data science questions
Linear regression
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