Supervised Learning Algorithms: Linear Regression

Posted by Ashwin Jain on Sep 9, 2020 8:00:00 AM

This is a quick introduction on popular Supervised Learning Algorithms.

As we may recall, Supervised Learning refers to the set of algorithms that uses training data comprising both of inputs and corresponding output to build a model that subsequently predicts the best output for future inputs.

Supervised Learning problems fall in two broad categories:
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Topics: Machine Learning, AI, Supervised Learning, Linear regression

Working Under Supervision

Posted by Dhiraj Sharan on Apr 16, 2020 8:00:00 AM

Introduction

Like it or not, most of us have a boss, and thus, we work under supervision. Our boss's job is to make sure we stay focused and complete our work. We have quotas to fulfill and projects to complete. They know what the desired and expected outcomes are, the same way data scientists understand the result they are trying to produce with supervised learning.

 

Supervised learning using Python

This blog is the third one of the series on learning Machine Learning using Python. In the first one, DataScience & Machine Learning: Where to start with Python, we covered setting up Python and installing the relevant libraries. In the second one Looking further into Machine Learning using Python, we covered different machine learning techniques and became familiar with supervised learning. We also talked about the scikit-learn toolkit and saw the SVM approach used due to its flexibility and usefulness.

Photo by Brooke Lark on Unsplash
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Topics: Machine Learning, Artificial Intelligence, Supervised Learning, Linear regression, Logistic regression