Python for Data Science
Python for Data Science
Content
🔹 NumPy
Arrays
Array Functions
Array Comparisons
Boolean Masking
2-Dimensional Arrays
Higher Dimensional Arrays
NumPy Examples
Additional NumPy Topics
🔸 Random Number Generation
The Choice Function
🔹 Pandas
DataFrames
Grouping and Aggregation
Joins
MatPlotLib
1. Matplotlib
2. Seaborn
Seaborn
3. Seaborn
Plotly
4. Plotly
Sklearn
5. Introduction to Machine Learning
6. Introduction to Scikit-Learn
7. Classification Metrics
8. Loss Functions
9. Linear Regression
10. Logistic Regression
11. Decision Tree Classifiers
12. Random Forests
13. One-Hot Encoding
14. Cross-Validation
15. Grid Search
16. Titanic Dataset
17. Diagnosing Breast Cancer
Appendix
Glossary
.ipynb
.pdf
repository
open issue
Binder
4.
Plotly
¶
3.
Seaborn
5.
Introduction to Machine Learning
