README.md

Python for Data Science and Machine Learning Bootcamp

Instructor: Jose Portilla.

Udemy Couse can be found here.

Sections

• 1. Course Introduction
• 2. Environment Setup
• 3. Jupyter Overview
• 4. Python Crash Course
• 5. Python Crash Course
• 6. Python for Data Analysis - NumPy
• 7. Python for Data Analysis - Pandas
• 8. Python fort Data Analysis - Pandas Exercises
• 9. Python for Data Visualization - Matplotlib
• 10. Python for Data Visualization - Seaborn
• 11. Python for Data Visualization - Pandas Built-in Data Visualization
• 12. Python for Data Visualization - Plotly and Cufflinks
• 13. Python for Data Visualization - Geographical Plotting
• 14. Data Capstone Project
• 15. Introduction to Machine Learning
• 16. Linear Regression
• 17. Cross Validation and Bias-Variance Trade-off
• 18. Logistic Regression
• 19. K Nearest Neighbors
• 20. Decision Trees and Random Forests
• 21. Support Vector Machines
• 22. K Means Clustering
• 23. Principal Component Analysis
• 24. Recommender Systems
• 25. Natural Language Processing
• 26. Neural Nets and Deep Learning
• 27. Big Data and Spark with Python