Python for Data Science & Machine Learning: Zero to Hero
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 185 lectures (6h) | Size: 2 GB
Master Data Science & Machine Learning in Python: Numpy, Pandas, Matplotlib, Scikit-Learn, Machine Learning, and more!
What you'll learn
Gain familiarity with Pandas, a data analysis tool
Get a grasp on the theory behind basic and multiple linear regression
Tackle regression problems easily
Discover the logic behind decision trees
Acquaint yourself with the various clustering algorithms
Requirements
The ability to do simple math
No programming experience needed
No prior data science knowledge required
Readiness, flexibility, and passion for learning
Description
This machine learning course will provide you the fundamentals of how companies like Google, Amazon, and even Udemy utilize machine learning and artificial intelligence (AI) to glean meaning and insights from massive data sets. Glassdoor and Indeed both report that the average salary for a data scientist is $120,000. This is the standard, not the exception.
Data scientists are already quite desirable. It's difficult to keep them on staff in today's tight labor market. There is a severe shortage of people who possess the rare combination of scientific training, computer expertise, and analytical talents.
Today's data scientists are held to the same standards as the Wall Street "quants" of the '80s and '90s. When the need arose for innovative algorithms and data approaches, physicists and mathematicians flocked to investment banks and hedge funds.
So, it's no surprise that data science is rising to prominence as a promising career path in the modern day. It is analytic in focus, driven by code, and performed on a computer. As a result, it shouldn't be a shock that the...
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