Python + Data Science : Practical Guide [13 Hours]
Learn Data Science + Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning...
What you will learn
How to set up your Python environment
How to manipulate String & Variables with Python
How to use Booleans & Logical Operators with Python
How to use Functions & Packages with Python
How to use Pandas & Data Frames with Python
How to perform Data Visualization with Python
How to do Web Scraping with Python
The Basics of Natural Language Processing (NLP)
The Basics of Deep Learning & Reinforcement Learning
And much more...
Description
[NOTE: This course will be constantly updated & improved as per your feedback. All questions will get answered and the course author (Michael) will be very present to guide you.]
This course was built by Michael Mustaine (Data Scientist & Machine Learning expert) and Eduonix Learning Solutions with a simple idea in mind: teach you the basics of Python + Data Science in a practical way, so that you can acquire, test and master your Python skills gradually.
If you check the course's curriculum, you'll see that you'll learn all these things with Python:
Using Variables & Strings
Using Booleans & Logical Operators
Using Functions & Packages
Using Lists, Tuples and Dictionaries
Using For & While Loops
Using Panda & Data Frames
Doing Data Visualization
Scraping Web Data
Doing some basic Natural Language Processing (NLP)
Basics of Machine Learning & Deep Learning
And much more to come..
In any case, Michael will be here for you and answer any questions you may have, and he'll constantly update and improve the course's content. The goal is to make your learning a very interactive process.
So, what are you waiting?! Get the course NOW!
Content
Introduction
Environment
Integers and Strings
If Statements and Basic Programming Logic
Lists, Tuples, Dictionaries and For/While Loops
Functions and Packages
Pandas and Data Frames
Visualization - Scatter Plots, Bar Plots
Scraping the Web with Python
Basics of Natural Language Processing (NLP)
Introduction to Machine Learning
Optional Classes
Project #1 - Analyze and visualize data on Kaggle
Project #2 - Natural language processing
Project #3 - Create a simple support vector machine
BONUS LECTURE
Reviews
Coupons
Submit by | Date | Coupon Code | Discount | Emitted/Used | Status |
---|---|---|---|---|---|
- | 2/24/2020 | LEAP2020 | 86% OFF | expired |