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Sunday, August 18, 2019

Intermediate Python for Data Science

Programming

INTERACTIVE COURSE Intermediate Python for Data Science

PROBABILITY
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Course Description...

The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib's functions and get to know new data structures such as the dictionary and the Pandas DataFrame. After covering key concepts such as boolean logic, control flow and loops in Python, you're ready to blend together everything you've learned to solve a case study using hacker statistics.

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance.

And lot MORE...

FOR MORE DETAILS
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PREREQUISITES:

PROBABILITY
>>>Introduction to Python<<<

About the Author...

Ed Neil O. Maratas an instructor of Jose Rizal Memorial State University, Dapitan Campus, Philippines as regular status. He earned his Bachelor of Science in Statistics at Mindanao State University-Tawi-Tawi College of Technology and Oceanography in the year 2003 and finished Master of Arts in Mathematics at Jose Rizal Memorial State University year 2009. He Became a researcher, a data analyst, and engaged to several projects linked to the university as data processor.

Prepared by:Ed Neil or you can visit the facebook pageStatisticss For Funfor

Prepared by:ednielmaratas@gmail.com

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