Regression analysis is one of the central aspects of both statistical and machine learning based analysis . It explores the relevant concepts in a practical manner from basic to expert level . This course will teach you regression analysis for both . statistical data analysis and . machine learning in Python in a practical hands-on manner . The course can help you achieve the same level of success as anaconda/iPython for Practical Data Science. The course explores the . relevant concepts in a . practical manner in a practical manner from . basic to . expert level. The course is designed to teach you how to use data analysis in the Python environment.API quota exceeded. You can make 500 requests per day.
Who this course is for:
Students Who Had Prior exposure to Python programming (Not Essential)
Students Wanting To Master The Anaconda iPython Environment For Data Science & Scientific Computations
Students Wishing To Learn The Implementation Of Supervised Learning (Regression) On Real Data Using Python
Students Looking To Get Started With Artificial Neural Networks & Deep Learning