Packt - Machine Learning 101 with Scikit-learn and StatsModels

 MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 5 Hours 13M | 2.06 GB

Genre: eLearning | Language: English

This course will provide you with solid Machine Learning knowledge to help you reach your dream job destination.

Machine Learning is one of the fundamental skills you need to become a data scientist. Its the steppingstone that will help you understand deep learning and modern data analysis techniques.

In this course, well explore the three most fundamental machine learning topics such as Linear regression, Logistic regression and Cluster analysis. Even neural networks geeks (like us) cant help but admit that its these three simple methods that data science revolves around. So, in this course, we make otherwise complex subject matter easy to understand and apply in practice.

Of course, theres only one way to teach these skills in the context of data science”to accompany statistics theory with a practical application of these quantitative methods in Python. And thats precisely what we are after. Theory and practice go hand in hand here.

Weve developed this course with not one but two machine learning libraries: StatsModels and sklearn. This is a course youll be eager to complete.

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels