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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets.

aws_s3_select

cloudml-samples

Cloud ML Engine is now a part of AI Platform

coding-ninjas-machine-learning

Machine Learning Course

datasets

A collection of datasets ready to use with TensorFlow

deeplogo

A brand logo detection system using tensorflow object detection API.

devise-zero-shot-classification

DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker

dockers

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

elements-of-programming-interviews

Method stubs and test cases for the problems from Elements of Programming Interviews

elements-of-programming-interviews-adnan-aziz-in-java-

elements_of_programming_interviews_python

Custom code for and solutions to problems from the book.

helloworld

Testing

iimc_project

Machine Learning as a Service

interviewprepalgorithms

label-embeddings-in-image-classification

Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation or similarity between class labels. The similarity between labels is judged using label word embeddings and incorporated into the loss layer. We propose that shallower networks be learnt with more complex and structured losses, in order to gain from shorter training time and equivalent complexity. We train two variants of CNNs with multiple architectures , all limited to a maximum of ten convolution layers to obtain an accuracy of 93.27% on the Fashion-MNIST dataset and 86.40% on the CIFAR 10 dataset. We further probe the adversarial robustness of the model as well the classspecific behavior by visualizing the class confusion matrix.We also show some preliminary results towards extending a trained variant to zero-shot learning.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

machine-learning-projects

ASL Recognition using Deep Learning

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-deployment-demo

ML Deployment, Two Ways

munikumargv

Config files for my GitHub profile.

openfoodfacts-ai

This is to track all our AI endeavours, and wishlists 🍕 🤖🍼

play-scraper

A web scraper to retrieve application data from the Google Play Store.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.