Introduction to Machine Learning with Case Study in Python

Introduction to Machine Learning with Case Study in Python Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 366 MB Genre: eLearning Video | Duration: 14 lectures (51 mins) | Language: English Understand concepts of least square regression and Hypothesis testing to our model like t-test, ANOVA, F-test, R square What you'll learn Least Square Regression Build OLS in Statsmodel Hypothesis Testing t test ANOVA F Statistics Degree of Freedom of the Model Descriptionting Regression Line above the scatter Description (Fitted Values) Predicting Results Answer Question statistically Requirements Understanding Statistics Beginner to Python Description In this course, you will learn concepts of linear regression. Starting from Case Study on Big Mac Statistical Questions Least Square Regression Hypothesis testing: t- test ANOVA and F-test Correlation R Square You will learn the approaches towards regression with case study. First we start with understanding linear equation and the optimization function value sum of squared errors. With that we find the values of the coefficient and makes least square regression. Then we starts building our linear regression in python. For the model we build we necessary test like hypothesis testing. t-test for coefficient significance ANOVA and F-test for model significance. And finally, we answer the question statically. Hope we are seeing you inside the course !!! Who this course is for: Beginner of Python Developer who want to learn Data Science Solving question related to linear regression Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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