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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

a-tile-game

A platformer game.

academic-kickstart

algo_ds_notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

awesome-python-data-science

Probably the best curated list of data science software in Python.

awsfordatascientists

AWS for Data Scientists Bootcamp

capital-one-cards-fraud-detection-mlops

capital-one-credit-card-fraud-predicition

color-game

A basic color game where you have to guess the color of the given RGB composition.

course-projects

credit-card-approval-prediction

datascience-exam

Repo supporting data science team interview exams.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

ds

ds-take-home

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

facial-expression-detection

facial-reidentification

Facial Reidentification using one shot learning

facial_expressions

A set of images for classifying facial expressions

gdevelop

:video_game: GDevelop is an open-source, cross-platform game engine designed to be used by everyone.

hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

howler.js

Javascript audio library for the modern web.

hr-analytics-dashboard

leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

neuronal-synchrony

A collection of two dimensional animations that are triggered by sound.

predicting-seasurface-temperatures

Comparing all 3 models, using the Residual Mean Squared Error as our metric, we see that the BSTS model performs the best with the lowest RMSE score. We suspect that the Bayesian approach worked so well because it can infer causal impacts within time series. In this case, whether 1 or more layers greatly influenced the temperatures of the layers beneath it. In our coefficient analysis for a model size of 1 we confirmed this was the case. We faced a few issues in this project. For the SARIMA models, we started out with a trial and error method to determine the order of the seasonal model required to fit the data. This method proved difficult since there are numerous combinations of numbers that could have made the model. Reading the ACF and PACF model and using that as a guide resulted in producing the best model we have provided above. Another issue we ran into was trying to configure the predict method to work with our data. The predict method produced predictions for the entire dataset instead of just future data. Using the one step ahead prediction and the forecast function was able to rectify this error.

recsys-music

Music/Songs Recommendation System

reinforcement-learning-using-unity

Reinforcement learning with Unity

restful_routing

Blog Web App using RESTful routing. Original credit goes to Colt Steele's Udemy course "The Web Developer Bootcamp."

retreving-financial-estimates-using-estimize

This project revolves around getting the financial estimates for a few companies of the financial year 2019

sktime

A unified framework for machine learning with time series