20 Sept 2026, 19:45 UTC693 views3 reactionsread 27 September 2026 🌐 Data Science Tools & Their Use Cases 📊🔍
🔹 Python ➜ Core language for scripting, analysis, and automation
🔹 Pandas ➜ Data manipulation, cleaning, and exploratory analysis
🔹 NumPy ➜ Numerical computations, arrays, and linear algebra
🔹 Scikit-learn ➜ Building ML models for classification and regression
🔹 TensorFlow ➜ Deep learning frameworks for neural networks
🔹 PyTorch ➜ Flexible ML research and dynamic computation…
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19 Sept 2026, 05:28 UTC791 views1 reactionsread 27 September 2026 Video
🤖 GigaChat 3.5 Reasoning
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14 Sept 2026, 07:29 UTC322 views1 reactionsread 27 September 2026 10. What is bias in data and how does it affect models?
Bias in data occurs when certain groups, patterns, or outcomes are overrepresented or underrepresented. This leads models to learn distorted relationships. Biased data produces unfair, inaccurate, or unreliable predictions. In real systems, this affects trust, compliance, and business outcomes, so bias detection and correction are critical.
Double Tap ♥️ For Pa…
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14 Sept 2026, 07:29 UTC347 views3 reactionsread 27 September 2026 ✅ Data Science Interview Questions with Answers Part-1
1. What is data science and how is it different from data analytics?
Data science focuses on building predictive and decision-making systems using data. It uses statistics, machine learning, and domain knowledge to forecast outcomes or automate actions. Data analytics focuses on analyzing historical and current data to understand trends and performance. Analytic…
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14 Sept 2026, 07:29 UTC≈1,150 views8 reactionsread 27 September 2026 ✅ Data Science Interview Questions with Answers Part-4
• 31. Why is Python popular in data science?
Python is popular because it is simple to read, easy to write, and fast to prototype. It has strong libraries for data analysis, machine learning, and visualization. It integrates well with databases, cloud platforms, and production systems. This makes it practical for both experimentation and deployment.
• 32. Diffe…
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14 Sept 2026, 07:29 UTC601 views3 reactionsread 27 September 2026 ✅ Data Science Interview Questions with Answers Part-3
21. How do you handle missing values?
Missing values are handled based on the reason and the impact on the problem. You first check whether data is missing at random or systematic. Common approaches include removing rows or columns if the missing percentage is small, imputing with mean, median, or mode for numerical data, using a separate category for missing va…
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14 Sept 2026, 07:29 UTC356 views1 reactionsread 27 September 2026 ✅ Data Science Interview Questions with Answers Part-2
11. What is the difference between mean, median, and mode?
The mean is the average value calculated by dividing the sum of all values by the total count. The median is the middle value when data is sorted. The mode is the most frequently occurring value. Mean is sensitive to extreme values, while median handles outliers better. Mode is useful for categorical or…
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14 Sept 2026, 07:05 UTC430 views2 reactionsread 27 September 2026 Deployment and Real-World Practice
91. What is model deployment?
92. What is batch vs real-time prediction?
93. What is model drift?
94. How do you monitor model performance?
95. What is feature store?
96. What is experiment tracking?
97. How do you explain model predictions?
98. What is data versioning?
99. How do you handle failed models?
100. How do you communicate results to non-technical stakeholders?
Double Ta…
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14 Sept 2026, 07:05 UTC607 views3 reactionsread 27 September 2026 Top 100 Data Science Interview Questions ✅
Data Science Basics
1. What is data science and how is it different from data analytics?
2. What are the key steps in a data science lifecycle?
3. What types of problems does data science solve?
4. What skills does a data scientist need in real projects?
5. What is the difference between structured and unstructured data?
6. What is exploratory data analysis and why do you d…
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13 Sept 2026, 05:47 UTC897 views3 reactionsread 27 September 2026 🚨 SURPRISE ALERT! 🚨
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6 Sept 2026, 20:22 UTC≈1,560 views4 reactionsread 27 September 2026 You know what DOESN'T matter?
How you got started in data.
Maybe you focused on a single tool.
Maybe you learned Python before SQL.
Maybe you thought you needed to know R.
Maybe you only know Excel and that's all you need.
Maybe you tried Power BI before deciding on Tableau.
It doesn't matter how you get started - it matters how you continue.
Do you...
- provide insights that drive business decisions?
- help sta…
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7 Aug 2026, 21:17 UTC≈3,310 views12 reactionsread 27 September 2026 ✅ Top Data Analyst Projects That Impress Recruiters 📈💼
1. Sales Data Analysis
→ Analyze monthly/quarterly sales trends
→ Segment by product, region, and sales reps
→ Tools: Excel, SQL, Power BI/Tableau
2. Customer Retention Dashboard
→ Churn analysis and retention KPIs
→ Use cohort analysis, funnel visualization
→ Tools: Python, Tableau
3. E-commerce Data Exploration
→ Study user behavior, conversion rate
→ Analyz…
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Showing the 12 most recent of 31 posts we hold for @DataPortfolio. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.