| Role | Analytical Skills | Business Acumen | Data Storytelling | Soft Skills | Software Skills |
|---|---|---|---|---|---|
| Data Analyst | High | Medium to High | High | Medium to High | Medium |
| Data Engineer | Medium | Low | Low | Medium | High |
| Data Scientist | High | High | High | High | Medium |
| ML Engineer | Medium to High | Medium | Low | High | High |
Shafaq Aslam shafaq-aslam
shafaq-aslam
/ Job_role.md
Created
September 26, 2025 07:05
shafaq-aslam
/ differences_of_instance_model.md
Created
August 30, 2025 07:55
| Instance-based Learning | Model-based Learning |
|---|---|
| Required data preprocessing | Required data preprocessing |
| No explicit training required; discovers patterns when new receives new data points | Build mathematical model from data to discover hidden patterns. |
| No model to store | Stores the trained model for future predictions |
| Original data must be kept for predictions | Discard training data after model training |
| k-Nearest Neighbors (kNN), Locally Weighted Regression | Linear Regression, Logistic Regression, Decision Trees, Neural Networks |
shafaq-aslam
/ dimensionality_reduction.md
Created
August 22, 2025 07:53
| Customer ID | Spending Behavior | Shopping Frequency | Brand Preference | Cluster (Segment) |
|---|---|---|---|---|
| C101 | Low–High Discount | Rare | None | Budget Shoppers |
| C205 | High–Low Discount | Frequent | Yes | Brand Loyal |
| C309 | Medium–Medium | Frequent | No | Frequent Buyers |
shafaq-aslam
/ clustering_techniquee.md
Created
August 22, 2025 07:49
| Customer ID | Avg. Monthly Spend | Shopping Frequency | Preferred Brands | Discount Sensitivity | Cluster (Segment) |
|---|---|---|---|---|---|
| C101 | Low | Rare | None | High | Budget Shoppers |
| C205 | High | Frequent | Yes | Low | Brand Loyal |
| C309 | Medium | Frequent | No | Medium | Frequent Buyers |
shafaq-aslam
/ clustering_technique.md
Created
August 22, 2025 06:50
| Customer ID | Avg. Monthly Spend | Shopping Frequency | Preferred Brands | Cluster (Segment) |
|---|---|---|---|---|
| C101 | Low | Rare | No | Budget Shoppers |
| C205 | High | Frequent | Yes | Brand Loyal Customers |
| C309 | Medium | Frequent | No | Frequent Buyers |
| C412 | Low | Moderate | No | Budget Shoppers |
| C523 | High | Rare | Yes | Brand Loyal Customers |
| C634 | Medium | Frequent | Yes | Frequent Buyers |
| C745 | Low | Frequent | No | Budget Shoppers |
| C856 | High | Frequent | Yes | Brand Loyal Customers |
shafaq-aslam
/ classification_technique.md
Created
August 21, 2025 18:39
| Email ID | Contains "Free" | Sender Reputation | Has Attachments | Predicted Class |
|---|---|---|---|---|
| 1 | Yes | Low | No | Spam |
| 2 | No | High | No | Not Spam |
| 3 | Yes | Medium | Yes | Spam |
| 4 | No | High | Yes | Not Spam |
| 5 | Yes | Low | Yes | Spam |
shafaq-aslam
/ regression_techniques.md
Last active
August 21, 2025 17:45
| Plant | Sunlight (hours/day) | Water (liters/day) | Growth (cm/week) |
|---|---|---|---|
| 1 | 4 | 1 | 5 |
| 2 | 6 | 1.5 | 8 |
| 3 | 5 | 1.2 | 6 |
| 4 | 7 | 2 | 10 |
| 5 | 3 | 0.8 | 4 |
shafaq-aslam
/ ML_data_type_table.md
Created
August 14, 2025 16:00
| Data Type | Examples |
|---|---|
| Numeric (Continuous) | Height, temperature, stock price |
| Numeric (Discrete) | Number of children, count of clicks |
| Categorical | Country names, product category, car brand |
| Ordinal | T-shirt sizes (S, M, L, XL), survey ratings (1–5 stars) |
| Binary | Gender (M/F), customer churn (yes/no) |
| Text | Emails, product reviews, news articles |
| Image | Photographs, X-rays, handwritten digits |
| Audio | Speech, music, environmental sounds |