Python for Data Science and Machine Learning Bootcamp (Update)

Category: Tutorial

Posted on 2019-01-25, by everest555.


Python for Data Science and Machine Learning Bootcamp
MP4 | Video: 1280x720 | Duration: 22 Hours | 3.7 GB | Subtitles: VTT | Project Files
Author: Pierian Data International | Language: English | Skill level: All Levels


Learn how to use NumPy, Pandas, Seaborn , MatDescriptionlib , Descriptionly , Scikit-Learn , Machine Learning and more!

Are you ready to start your path to becoming a Data Scientist ? This comprehensive 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!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course 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!

Here a just a few of the topics we will be learning:
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matDescriptionlib and seaborn for data visualizations
Use Descriptionly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!

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