📘 Statistics Basics (Class 01)

Statistics for ML.

🎯 CLASS: ONE

• #1: Introductory Talk
• #2: Descriptive VS Inferential Statistics
• #3: Population VS Sample
• #4: Measure of Central Tendency
• #5: Measure of Dispertion/Variation/Variability
• #6: Quantiles
• #7: 5 Number Summary And BoxPlot

class_one_notebook_link

✅ Submission Flow

Step	Action	Command / Link
1	Fork this repo	Click the “Fork” button (top-right)
2	Clone your fork	git clone https://github.com/YOUR_USERNAME/REPO_NAME
3	Create & switch to the submissions branch	git checkout -b submissions
4	Solve the notebook	Open NOTEBOOK.ipynb in Jupyter / VS Code
5	Duplicate the file with your ID	cp NOTEBOOK.ipynb <YOUR_STUDENT_ID>.ipynb (e.g., 2102024.ipynb)
6	Add, commit, push	git add . git commit -m "Add Week 01 submission – <YOUR_STUDENT_ID>" git push origin submissions
7	Open a Pull Request	From your fork → upstream submissions branch

💡 Tip: Add a short summary inside the PR description explaining what you learned this week!

📽️ Alternatively, you can watch this video (Bangla Language).

⚠️ Common Pitfalls to Avoid

• ❌ Pushing to main instead of submissions
• ❌ Forgetting to rename the notebook
• ❌ Committing temp files

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