Python for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp is a very long and cool class. The topic is so broad and touches on all areas. make sure you commit sometimes to this class. Be ready for the challenge and utilize your computer skills because what you will be doing is not the same as the video because new codes and software keep updating so fast that this class seems to be a bit falling behind.

Python for Data Science and Machine Learning Bootcamp

I thought it was a good course overall. I feel like I learned a lot. I really liked the inclusion of the theory. I only have a few suggestions. It would be nice to know a little about the parts in the beginning (data gathering) and the end (deployment). Those 2 aspects of it I will have to look elsewhere. The Tensorflow course videos aren't up to date, but that is understandable. I would like for the lecture "Changes with Tensorflow" to also mention the fixes that are needed in the project exercise. It would also be helpful to maybe do some light video editing to warn us again that the code may not work and we'd need to refer back to that "Changes with Tensorflow" lecture.

Curriculum For This Course

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

How to download machine learning a-z ?

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