Linear Regression Analysis in Python for Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7.5 Hours | 3.67 GB
Genre: eLearning | Language: English
If you are a business manager, executive, or student and want to learn and apply Machine Learning in real-world business problems, this course will give you a solid base by teaching you the most popular technique of machine learning: Linear Regression.
This course covers all the steps you should take while solving a business problem through Decision Trees. Most courses only focus on teaching you how to run an analysis, but we believe that what happens before and after running analyses is even more important: before running an analysis, it is very important that you have the right data and do some pre-processing on it. And after running an analysis, you should be able to judge how good your model is and interpret the results so it actually helps your business.
The course is taught by Abhishek and Pukhraj. As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Machine Learning techniques and we have used our experience to include practical aspects of data analysis in this course.
This course teaches you all the steps involved in creating a Linear Regression model (one of the most popular Machine Learning models) to solve business problems.
By the end of this course, your confidence in creating a regression model in Python will have soared. You'll have a thorough understanding of how to use regression modeling to create predictive models and solve business problems.
All the code and supporting files for this course are available at -
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