Resources

Resource	URL
Understand machine learning results	see here
Evaluate Model module	see here
I trained a model. What is next?	see here
Nine simple steps for better-looking python code	see here
Top Marks for Student Kaggler in Bengali.AI; A Winner’s Interview with Linsho Kaku	see here
How Kaggle Makes GPUs Accessible to 5 Million Data Scientists	see here
Bengali.AI first place solution	see here
RAPIDS	see here
Pandas comparison with SQL	see here

Curated Resources

0. Data Science for Beginners - A Curriculum - Microsoft Learn
1. Mathematical Tools for Data Science
2. Handbook of regression modeling in people analytics - 2nd part
3. Stat learning - second edition - website
4. Essential math for data science - website
5. INTRODUCTION TO SPACY 3

Data Dashboard and Visualization

0. Facets
1. Atoti
2. Streamlit
3. Altair-viz
4. Vega
5. Vega-lite
6. Bokeh
7. Deck.gl
8. Plotly
9. Data & Measurement - ThinkwithGoogle
10. Gradio

Data Sources

1. Harvard Dataverse
2. ICPSR

Maths

1. Primers • Math

Prompt Engineering

1. Prompt Engineering