120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

anush-onkar

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

awesome-for-beginners

A list of awesome beginners-friendly projects.

awesome-llm-apps

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

awesome-ml

Curated list of Machine Learning/Data Science resources

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

cnn-exposed

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

codebert

CodeBERT

covid-19-detection

Detecting Covid-19 from X-ray

data-science-interview-resource

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

data-science-interview-resources

Data Science/ML Resources- for interview, random concepts

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deep-learning-for-nlp-resources

List of resources to get started with Deep Learning for NLP.

deep_learning_coursera

Deep learning projects and assignments based on Coursera's specialization

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deployment-flask

genai_projects

generative-ai-demos

generative-ai-indepth-basic-to-advance

generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hackingneuralnetworks

A small course on exploiting and defending neural networks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

healthcare-ml-web-application

Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.

high_level_computer_vision-assignment

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-resources

medium.com-interesting-articles

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book