In the last post by Atharva Peshkar on Linear Regression, you learned what is linear regression. Now let's see how to implement Linear regression in One Variable. Prerequisites: Basic Knowledge of Python Python Software Instead of python software, I recommend you to use Spyder tool by Anaconda which is also an open source software. Click … Continue reading Practical Approach to Linear Regression
Category: Artificial Intelligence
Diving into Supervised Learning
In the last post by Vedant Bahel you learnt about what is Supervised Learning. In this post we will dive deeper into supervised learning and discuss the subcategories in which supervised machine learning problems can be divided. Supervised Learning So, basically every supervised learning problem can be divided into these two categories Regression Problem In … Continue reading Diving into Supervised Learning
Supervised Machine Learning
In the last post by Atharva Peshkar, you learned about Machine Learning in detail. Well, Machine Learning algorithm can be divided into three parts depending upon the type of dataset, rather say on basis of learning approaches which are Supervised, Unsupervised and Reinforcement Machine Learning. But in this section, I will be only discussing 'Supervised … Continue reading Supervised Machine Learning
What’s Machine Learning?
This post tries to explain in brief with an example that what actually Machine Learning is.
What I think Artificial Intelligence is!
When we were born, we didn't know what things around us are called, what are its uses, why they are kept there, etc. It was gradually we learnt after seeing around what others did. We learnt to call things by their name when our parents taught us. They repeatedly said some object like a ball and we … Continue reading What I think Artificial Intelligence is!
Tech Eagle 