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Python, Data Science & Machine Learning Mini-Course
Welcome
Welcome + Meet Your Instructor (6:06)
Create a "DSI Mini Course" folder
Python
What is Python & what is it used for? (6:02)
Installing Python with Anaconda + Coding in Spyder! (Practical) (7:47)
The Basics of coding in Python (Practical) (12:23)
Pandas for Data Manipulation & Analysis
Getting the Data
Pandas for Data Manipulation & Analysis (Practical) (12:09)
Primes Finder
Let's find all prime numbers under one million! (Practical) (19:34)
A note on using pop() with sets in Python
Machine Learning
What is Machine Learning? (14:37)
An overview of the scikit-learn library for Machine Learning in Python (9:15)
What is a Random Forest model - and how does it work? (8:36)
Getting the Data
Let's build, train, and test our Random Forest model! (Practical) (17:08)
Congratulations! ...and where to from here?
The best way to learn Data Science! (1:47)
The Basics of coding in Python (Practical)
Complete and Continue