Niranjan B Subramanian, Author at AI ASPIRANT

How to save and load a model with Keras

In this article, we’ll look at how we can save a model that we have trained in Keras. First, we’ll create a very simple CNN model using Keras and train that model on the Fashion MNIST […]

Introduction to Matplotlib

Matplotlib is one of the most commonly used tools for plotting in Python. In this article, we’ll look at how to use matplotlib to create some basic plots, such as line plots, pie chart, histograms, bar […]

NLP Preprocessing with spaCy

In this article, we’ll discuss some of the NLP preprocessing techniques while handling the text data. As you have guessed from the title we’ll use spaCy for most of our tasks in this article. So, if you […]

Image Segmentation: Brain MRI Segmentation

In this article we’ll see how to perform Brain tumor segmentation from MRI images. We’ll try different architectures which are popular for image segmentation problems. Let’s start by defining what our business problem is. Business Problem: […]

Introduction to Neural Networks Part – 2

In the Part 1 of Introduction to Neural Networks we learned about one of the simplest artificial neuron called McCulloch-Pitts neuron and implemented it in python. The problem with M-P neuron is that there is actually […]

Introduction to Neural Networks – Part 1

A neural network is an algorithm whose design was inspired by the functioning of the human brain. It tries to emulate the basic functions of the brain. Due to the intentional design of ANNs as conceptual […]

Custom Callbacks in Keras

Keras comes with a long list of predefined callbacks that are ready to use. Keras callbacks are functions that are executed during the training process. According to Keras Documentation, A callback is a set of functions […]

Elo Merchant Category Recommendation – Kaggle Competition

Table Of Contents: 1) Business Problem 2) Data description 3) Exploratory Data Analysis 4) Data preparation/Feature engineering 5) Model Building 6) Submit model on Kaggle 1. Business Problem 1.1) Problem Description: Elo Merchant Category Recommendation” […]

Pandas Math Functions

In this article we’ll learn some of the commonly used math functions in Pandas. Let’s get started. The abs() function: The first one we are going to see is the abs() function. This function returns the […]

Introduction to Decision Trees

Decision trees are one of the most powerful and widely used supervised models that can either perform regression or classification. In this tutorial, we’ll concentrate only on the classification setting. A decision tree consists of rules […]

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