Criteria
| No. of credits | 10 | |
| Mode of training | Self-Learning + Doubt clearing (on demand) | |
| Criteria to attain credits |
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| Assessment Format | ML Level: 01 – MCQ test in muLearn – 3 tests as mentioned in below table Chosen Specialization – Subjective test (Question paper available in muLearn) |
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| Assessment duration | MCQ (25 mins) Subjective test (2 hour) |
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| Pass percentage | 80% Hypotheses Testing, EDA, Feature Engineering (Tot. Marks: 45), Forecasting (Tot. Marks: 25) are the Preliminary assessments: Total Marks: 70, Passing Marks: 56 (80%) Regression/Classification/Clustering (Tot. Marks: 30, Passing Marks: 24 (80%)) |
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| Access/installations for taking test | NIL | |
| Does the assessment require answer script submission | Yes, for specialization | |
| Mode of score collation | MCQ in muLearn Program PoC to coordinate for subjective test |
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Assessments
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Hypthesis testing |
Assignment submission – to be evaluated by the trainer
MCQ test – 17 questions ( 1 question per category). Categories are mentioned below. |
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EDA |
Assignment submission – to be evaluated by the trainer
MCQ test – 15 questions |
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Feature Engineering |
Assignment submission – to be evaluated by the trainer
MCQ test – 15 questions |
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Categories in Hypothesis Testing:
- Binomial Distribution
- Central Limit Theorem
- Chi-Square Distribution
- Chi-Square Test
- Confidence interval
- Hypothesis Testing
- Kruskal-Wallis H Test
- Normal Distribution
- Poisson Distribution
- Power Of Statistical Testing
- Sampling Distribution
- Shapiro-Wilk Test
- Sign Test
- T Distribution
- T-Test
- Wilcoxon Signed Rank Test
- Z-Test
DSC – Course document
To download the above file, click here