Amal Nair
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Amal is a Computer Science Engineer who is passionate about artificial intelligence and machine learning. He is someone who loves to stay updated with the trending IT technologies.

Reinforcement Learning : The Concept  Behind UCB Explained With Code

Currently, one of the most explored and favoured machine learning techniques by the biggest and brightest AI brains, Reinforcement Learning is a term known to practically everyone working in the field of AI.  The process of learning by reinforcement is…

Beginner’s Guide To Understanding Apriori Algorithm With Implementation In Python

To exploit data, one must know what exactly to look for in the data. Data in this generation makes for an invaluable tool for business, especially in the marketing and advertising sectors. In this article, we will talk about Apriori…

Understanding The Basics Of SVM With Example And Python Implementation

When you enter the Machine Learning dimension, it is highly likely that one of the first classifier algorithms you might come across is SVM,  you will find that SVM is all over the place. SVM which stands for Support Vector…

A Complete Guide For Beginning With K-Nearest Neighbours Algorithm In Python

  With lots of Machine Learning algorithms out there it is often hard and confusing as to which to choose for our model especially for those who are just preparing for a big dive into data science. And no, I’m…

The Intuition Behind Thompson Sampling Explained With Python Code

Reinforcement learning has been one of the most researched machine learning algorithms. As an algorithm that can be closely related to how human beings and animals learn to interact with the environment, reinforcement learning has always been given huge importance…

A Complete Tutorial On Implementing Lasso Regression In Python With MachineHack Data Science Hackathon

When we talk about Machine Learning or Data Science or any process that involves predictive analysis using data — regression, overfitting and regularization are terms that are often used. Understanding regularization and the methods to regularize can have a big…

A Hands-on Introduction to Naive Bayes Classification In Python

There are many different complex and simple algorithms available to Data Scientists, in classification, a particularly simple algorithm managed to do wonders in ML applications. The Naive Bayes classification algorithm has been in use for a very long time, particularly…

Beginner’s Guide To Web-Scraping In Python With Scrapy

A Data Scientist with no data is only as good as a carpenter with no timber. They may have exceptional skills with all the tool sets but neither of them have what’s important to show off those exceptional skills. The…

Guide To Implement StackingCVRegressor In Python With MachineHack’s Predicting Restaurant Food Cost Hackathon

For someone who has an interest in Data Science, Regression is probably one of the first Predictive Models that s/he may begin with. Regression is easier to understand and even easier to implement considering all those ready made packages and…

Implementing PCA In R With MachineHack’s How To Choose The Perfect Beer Hackathon

Dimensionality Reduction is an important and necessary step when we have a big data in hand with so many features. When there are so many features or columns, it is hard to understand the correlation between them. Including weak links…

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