Highlights: Hello and welcome! In the previous post, we saw how a neural network works in a demand prediction example. Moreover, we learned that the Neural Network architecture is made of individual units called neurons that mimic the biological behavior of the brain. In this post, we are going to take a closer look into the layer of neurons – fundamental building blocks of neural networks. You’ll learn how to construct a layer of neurons…
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Highlights: Welcome back to yet another post in our popular new tutorial series on Machine Learning. In the previous post, we studied the motivation, the fundamentals, the working and the implementation of a Logistic Regression Model. In today’s post, we’ll take you through everything you need to know about Neural Networks. You will finally understand all the terms related to Neural Networks and Deep Learning that you keep hearing about these days. We will begin…
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Highlights: Welcome back to our ongoing Machine Learning tutorial series. In the previous post, we learned how to enhance the performance of a Linear Regression model and studied the applications of Multiple Linear Regression. In today’s tutorial post, we will study and implement a Logistic Regression model, covering basic fundamentals of derivatives, overfitting and binary prediction. And, of course, we’ll use Python to boost our understanding of the concepts we study by writing some code.…
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Highlights: Welcome back to our new Machine Learning series. In the previous post, we studied all about Linear Regression, Cost Functions and Gradient Descent. We also built a simple Linear Regression model using Python. In this tutorial post, we will learn how to make our Linear Regression model faster and more powerful. We will start by building a Linear Regression model using multiple features and then, enhance its performance using various techniques. And finally, we’ll…
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Highlights: Welcome back to the all-new series on Machine Learning. In the previous post, we gave you a sneak peak into the basics of Machine Learning, the two types of Machine Learning, viz., Supervised & Unsupervised, and implemented some examples using various algorithms in each of the techniques. In this new tutorial post, we will explore one of the most widely used Supervised Learning algorithms in the world today – Linear Regression. We will start…
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