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Deep Dive into Gated Recurrent Units (GRU): Understanding the Math behind RNNs
Gated Recurrent Unit (GRU) is a simplified version of Long Short-Term Memory (LSTM). Let’s see how it works in this article.
shivamshinde92722
Jan 14, 20234 min read


From Vanilla RNNs to LSTMs: A Practical Guide to Long Short-Term Memory
Long short-term memory (LSTM) networks have become a go-to tool for tasks like machine translation, language modeling, and speech recognitio
shivamshinde92722
Jan 6, 20233 min read


A Simple Approach to Creating Custom Transformers Using Scikit-Learn Classes
In this article, I will be explaining how to create a transformer according to our processing needs using Scikit-Learn classes
shivamshinde92722
Dec 23, 20223 min read


Using Scikit-Learn Pipelines to Automate the Machine Learning Model Training and Predictions
In this article, I will try to explain the theory and the use of Scikit-Learn’s pipelines class using a coding example of...
shivamshinde92722
Dec 15, 20225 min read


A Practical Guide to Exploratory Data Analysis (EDA) Using Python
In this article, I will explain one of the most important parts of the lifecycle of a data science project, i.e., exploratory data analysis
shivamshinde92722
Dec 15, 20227 min read


Explore R2 and Adjusted-R2 metrics intuitively
In this article, you will learn intuitively R2 and Adjusted-R2 metrics work.
shivamshinde92722
Nov 25, 20224 min read


Know Different Performance Measures for Machine Learning Classification Problem
This article will teach you the different performance measures used in machine learning classification tasks.
shivamshinde92722
Nov 20, 20226 min read


Clear Your Doubts About the Usage of Scikit-Learn’s Fit, Transform, and Predict Methods
It's important to know the distinction between fit, and fit_transform methods in Scikit-Learn and when it's appropriate to use them.
shivamshinde92722
Nov 11, 20223 min read
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