The Ultimate Product Data Science & Analytics Resource

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Answers to 120 commonly asked data science interview questions.

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

A repo for data science related questions and answers

Notes and solutions for the Mathematics for Machine Learning Specialization

Learning about and doing projects with recurrent neural networks

Deep Learning for humans

A Keras port of Single Shot MultiBox Detector

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Protein function prediction using a variational autoencoder

SegNet model implemented using keras framework

Deep Learning Specialization by Andrew Ng on Coursera.

unet for image segmentation

Using the Jupyter notebook for data science.

generate MNIST using a Variational Autoencoder

Object classification with CIFAR-10 using transfer learning

SegNet-Basic with Keras