Data Science First Internal |Full SolutionsQ1–Q19 | Statistics, Similarity, Pairing | MCA/BCA Notes

Data Science Assignment 1 – Full Solutions (Q1 to Q19)
This video covers the complete step-by-step solutions for the Internal Test / Assignment 1 of the Data Science subject.
Includes full theory + formulas + numerical solutions of:

✔ Part A – Statistical Characterisation

Mean, Median, SD, Quartiles, Boxplots, Grouped Median, Correlation, Productivity Analysis

✔ Part B – Similarity & Dissimilarity

Euclidean, Manhattan, Minkowski, Supremum, Jaccard, Cosine, Normalization-based similarity

✔ Part C – Data Preprocessing

Data quality, missing value handling, smoothing, outlier detection, normalization methods (Min–Max, Z-score, MAD, Decimal Scaling), data integration

✔ Part D – Collaboration Analytics

Matching skills, constructing contingency tables, computing dissimilarity, best pairing selection

All solutions match the exact question paper, making it perfect for:
• MCA students
• BCA students
• Data Science beginners
• University exam preparation
• Internal assessments
• Practical viva and external viva

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