This is the visual representation of the loss with respect to the function. The aim of our model is to create the model with the least loss. The "Gradient Descent" algorithm does this exactly. Based on the parameters we have, the algorithms creates multiple models to find out the best model. Now we have to keep … Continue reading How do you choose the learning rate for any machine learning model?
Hello guys! After covering Pandas and Naive Bayes algorithm, it's time to shift the gear to building models in Machine Learning and the simplest among these algorithms is the Linear Regression Model. Introduction: The Linear Regression model is a discriminative type algorithm, which is a class of machine learning algorithm to relate the dependency of … Continue reading The Linear Regression Algorithm
Hello everyone! We are back with a brand new tutorial on one of the most popular Machine Learning algorithm, the Naive Bayes algorithm. Introduction:- The Naive Bayes algorithm is a generative type Machine Learning algorithm, which, as its name suggests, generates a model for the various classes of data into which our dataset needs to … Continue reading The Naive Bayes Algorithm
Imagine. You have decided to watch a recently released movie. You know you are going to enjoy it. But can you do so directly? No. These are the steps you would probably follow: Make a plan with your friends(Ignore this if you are a loner) Reach the theatre Get in line for the tickets Enjoy … Continue reading Getting started with Datasets- Pandas
masmlblog.wordpress.com 