Implement Logistic Regression with L2 Regularization from scratch in Python

This blog is a step-by-step guide to building a Logistic Regression classifier from Scratch. You will learn about techniques like Gradient Descent, Regularization, etc in this blog.

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Visual Question Answering with Deep Learning

This blog contains the implementation of "Hierarchical Question-Image Co-Attention for Visual Question Answering" paper in Keras/Tensorflow.

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Jigsaw Unintended Bias in Toxicity Classification: A Kaggle Case-Study

Step-by-step guide on how to build a first-cut solution to classify the toxicity of a comment using a simple LSTM model in Keras/Tensorflow.

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