Python for Data Science & Machine Learning
Python for Data Science & Machine Learning
Published 9/2024
Duration: 7h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.1 GB
Genre: eLearning | Language: English
Published 9/2024
Duration: 7h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.1 GB
Genre: eLearning | Language: English
Learn to use Pandas, Statistics , Matplotlib , Scikit-Learn , Machine Learning, and more!
What you'll learn
Learn the basics of Python Programming
Collect, Clean & Prepare data before Analysis
Learn to visualize data using various tools
Learn to use Python for Statistics
Learn to use Python for Machine Learning
Requirements
No programming experience needed. You will learn everything you need to know.
Description
The comprehensive Python in Data Science course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Are you ready to start your path to becoming a Data Scientist?
Data Scientist has been ranked the hottest job of this century. Data Science is a rewarding career that allows you to solve some of the world's most exciting problems!
This course is designed for both beginners with some programming experience and experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science courses that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With
HD video lectures
and
detailed code notebooks for every lesson,
this is one of the most comprehensive courses for data science and machine learning on Udemy!
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! How to download and prepare data. Also covered is Working with MySQL database to access data.
This course covers also Python for statistics.
Here are just a few of the topics we will be learning:
Programming with Python
Using Pandas Data Frames
Use Pandas to handle CSV & Excel Files
Connect Python to MySQL
Use Pandas, Matplotlib, and seaborn for data visualizations
Python for Descriptive Statistics
Probability Distribution
Confidence Intervals
Hypothesis Testing
Machine Learning with SciKit Learn
Linear Regression
Logistic Regression
ANOVA
Decision Trees
Random Forests
and much, much more!
Enroll in the course and become a data scientist today!
Who this course is for:
Python Developers, Data Science Students, Algo Traders
More Info