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Guide to Gradient Descent and Its Variants with Python Implementation

In this article, we’ll cover Gradient Descent along with its variants (Mini batch Gradient Descent, SGD with Momentum) along with python implementation.

Genetic Algorithms and its use-cases in Machine Learning

Web Scraping With Python: BeautifulSoup Library

We will be building a dataset by extracting Domino's Pizza reviews from the website consumeraffairs.com/food using BeautifulSoup library

Building your own Rule-Based Conversational Chatbot | Python Implementation

Chatbot, is an artificial intelligence (AI)feature that can be embedded and used through any major messaging applications.

A Gentle Introduction to Autoencoders for Data Science Enthusiasts

Autoencoders are an essential part of AI; learn why this technology is important with this blog post aimed at understanding how autoencoders can help you

Music Genres Classification using Deep learning techniques

In this article, we discuss Music Genres Classification using Deep learning techniques. The use-case comes handy for people in music industry

Image Classifier with Streaming Augmented Images from Local Storage

In this article we will develop an Image Classifier with Streaming Augmented Images from Local Storage using ImageDataGenerator.

Deep Learning: How It Started, What Are The Different Variants & How It Caused Severe Disruption To All Existing Technology?

Deep Learning is a technique That Combines The Class Of Learning Algorithms With The Use Of Many Layers Of Nonlinear Units

FuzzyWuzzy Python Library: Interesting Tool for NLP and Text Analytics

The FuzzyWuzzy python library uses Levenshtein distance to calculate the difference between two strings. Let's understand it

Why Is Data Science Still Considered A Contemporary and Highly Advanced Field? And Can You Consult A Data Science Consulting Firm?

Data Science Is A Highly Advanced Field as It Varies From Industry To Industry. Let's understand this and see the relevance of consultancy