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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

advanced-nlp-projects-with-tensorflow-2.0

ai-curated-content

Ready to use Directory of content about AI ML ANN from various sources

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

babyrobot

A Baby Robot's Guide to Reinforcement Learning

ball-brick

Brick Breaker is a clone of the classic arcade game Breakout which the player must smash a wall of bricks by deflecting a bouncing ball with a paddle. When all the bricks have been destroyed, the player advances to a new, harder level. The player gets 3 lives to start with; a life is lost if the ball hits the bottom of the screen. If all lives are lost, the game is over.

bayesian-testing

Notebook to walk through Bayesian testing with Kaggle data

categoricaloutlier

Provides an anomaly score for categorical and date time data

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

dash-sample-apps

Apps hosted in the Dash Gallery

data-science-interviews

Data science interview questions and answers

data-science-prep

Problems from https://datascienceprep.com/

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

decision-tree-python

Decision tree implementation from scratch

deep-learning-pytorch-huggingface

dlaicourse

Notebooks for learning deep learning

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

emot

Open source Emoticons and Emoji detection library: emot

finetuned-gpt2-convai

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

how-to-open-ipynb-on-google-colaboratory

How to open ipynb file on Google Colaboratory?

interview-question-data-science-

isolationforest

Isolation forest repository

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

learningtolearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.