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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