Posts by Prantik Sarkar
Author Biographical Info: A Machine Learning enthusiast striving to learn, improve, and evolve.
Implementation of Perceptron Algorithm for NOR Logic with 2-bit binary input in Python
Fig: NOR gate In this article, you’ll learn how to implement the NOR logic with 2-bit binary input using the perceptron algorithm in Python. The steps that we’ll follow.... Read More
Proper Noun Extraction in Python using NLP in Python
Natural Language Processing is a field of Artificial Intelligence that enables machines to process, interpret, and understand human language. Pythons NLTK i.e. the Natural Language ToolKit has a number of robust functions that allow us to extract various information from a text. This article will help you understand how you can extract all the proper nouns present […] Read More
Intrusion Detection model using Machine Learning algorithm in Python
The internet is the world’s marketplace. For any business to be eminent, a computer network is certainly going to be necessary. Connecting your business to the internet greatly expands its reach, value, and effectiveness. However, when you connect your business to a network, security becomes a critical concern as your data becomes prone to attack […] Read More
Implementation of Perceptron Algorithm for NOT Logic in Python
Fig: NOT gate In this article, you’ll learn how to implement the perceptron algorithm for NOT logic in python. The steps that we’ll follow will also enable you to easily implem.... Read More
How to Configure Image Data Augmentation in Keras TensorFlow
Training deep convolutional neural networks on more data can lead to an increase in its performance and generalization capacity. Limited training data can cause the model to overf.... Read More
Solve ValueError: Error when checking target in Keras
This article will help you solve ValueError: Error when checking target in Keras which we usually encounter while working with neural networks in Deep Learning. You will learn how.... Read More
Chunking Rules in NLP
To be able to gain more information from a text in Natural Language Processing, we preprocess the text using various techniques such as stemming/ lemmatization, ‘stopwords.... Read More
Predicting video game sales using Machine Learning in Python
Video games have become immensely popular over the past decade. The global games market in 2019 was estimated at $148.8 billion. In this article, you’ll learn how to implement a Machine Learning model that can predict the global sales of a video game depending on certain features such as its genre, critic reviews, and user […] Read More