Posted inMachine Learning
Machine Learning Algorithm
In this post, we will discuss about the various Machine Learning Algorithm. The main objective of this blog is to give you a basic level of understanding on what are…
Posted inMachine Learning
Classification Metrics in Machine Learning
Introduction Choosing the right Classification Metrics is very crucial for model evaluation. Metrics like Confusion Matrix is a simple yet a very powerful Classification Metrics when it comes to evaluating…
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Multicollinearity with Ordinary Least Squares(OLS)
Introduction Ordinary Least Squares is a method which helps us estimate the unknown parameters in the Linear regression model. How does it estimate the parameters though? Well, it estimates the…
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Bias and Variance in Machine Learning
Introduction to Bias and Variance Bias and Variance plays a very important role while building a model. To frame it in simple terms Bias is interpreted as the model error…
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Ridge and Lasso Regression
Introduction In this post we will try to understand about regularization and hyperparameter-tuning using Ridge and Lasso Regression. Before that we need to understand few concepts of Linear Regression. I…
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Cross Validation techniques and its applications
Introduction Before getting into the details of Cross Validation techniques and its application, we will see what the steps in a Machine Learning Pipeline are. This will help us to…
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Math behind Simple Linear Regression
Simple Linear Regression In this post we will try to understand the Math behind Simple Linear Regression. But before getting into the details let’s understand what Simple Linear Regression means. Simple…
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Mathematical assumptions while solving problems using Regression
Introduction Understanding the math behind any algorithm is very important. Often we dive straight into solving a problem using some machine learning algorithm and applying all sorts of techniques without…
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Linear Regression
The figure that you are seeing above details the various steps in data preprocessing as well as the Linear regression. We have covered the data preprocessing steps in detail here.…
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Introduction to Machine Learning
This blog will be more theoretical introduction towards what is Machine Learning and its different paradigms. So, let’s take a typical definition of Machine Learning and then break it down…