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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

awesome-covid-19-data-science

Amazing models, datasets, APIs, websites, etc. for tackling COVID-19. All resources have to relate to data science or machine learning; for everything else, please check out awesome-coronavirus.

awesome-mlops

A curated list of references for MLOps

bert-sentiment

brain-tumor-detection

Brain Tumor Detection Using Convolutional Neural Networks.

data-science--cheat-sheet

Cheat Sheets

data-science-template

Template for a data science project

data-science-tutorial

Code material for a data science tutorial

databricks-apache-spark-2x-certified-developer

Databricks - Apache Spark™ - 2X Certified Developer

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deploy-ml-model

Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.

deploy_machine_learning_model_on_flask_app

It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.

docker-jenkins

testing Jenkins integration

employee-attrition-rate

This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.

facial-expression-recognition

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

feature-engineering

google-cloud-platform-deployment

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.

housing-price-advanced-regressionn

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

jh-kaggle-util

Jeff Heaton's Kaggle Utilities

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

kubernetes

m5-forcast---accuracy

This is one of the two complementary competitions that together comprise the M5 forecasting challenge. Can you estimate, as precisely as possible, the point forecasts of the unit sales of various products sold in the USA by Walmart? If you are interested in estimating the uncertainty distribution of the realized values of the same series, be sure to check out its companion competition

machine-learning-interview

A List of Machine Learning Interview Questions.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

machine-learning-with-pyspark

Source Code for 'Machine Learning with PySpark' by Pramod Singh

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machinelearning-iamjustastudent

I Am Just A Student : Let's study AI/ML together. #iamJustAStudent

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave