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no-show-appointment
Analysis of potential causes of missed hospital appointmentsdannys_diner
SQL Challengesql-murder-mystery
SQL code to solve the SQL Murder Mystery Challengeyt-app
Data_Viz_Project
IBMCapstoneProject.model_evaluate
IBMCapstoneProject.model_deployment
prosper_loan_data
Data exploration of loans using chartsIBMCapstoneProject.model_def
pizza_order
IBMCapstoneProject.model_train
exploring_ebay_car_sales_data
This was a guided project completed with the help of Dataquest.IBMCapstoneProject.feature_eng
Modeling_Earthquake_Damage
Based on aspects of building location and construction, the goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.beach-resort
Hotel Reservation App built with ReactJSAdventure-Works-Cycles-Customer-Analysis
In this project, we will handle three main tasks: explore the data and gain some insights into Adventure Works customer characteristics and purchasing behavior, build a classification model to predict customer purchasing behavior, build a regression model to predict customer purchasing behaviorIBMCapstoneProject.etl
Predicting-House-Sale-Price
Querying-CIA-Factbook-Data-Using-SQLite-and-Python
react_the_venue
Single Web Page built with React JSearnings_college_major
This is mainly a visualization project, where we would like to see the outcomes of graduating from different majors.Finding-The-Best-Market-to-Advertise-in
An E-learning company that offers courses on programming would like to find the best market to advertise in.clean_and_analyse_employee_exit_survey
In this project, we'll work with exit surveys from employees of the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) institute in Queensland, Australia. You can find the TAFE exit survey here and the survey for the DETE here. We want to answer the following questions:Logical-Core-of-Mobile-App-for-Lottery-Addiction
A medical institute that aims to prevent and treat gambling addictions wants to build a dedicated mobile app to help lottery addicts better estimate their chances of winning. The institute has a team of engineers that will build the app, but they need us to create the logical core of the app and calculate probabilities.movie_recommendation_system
With the guidance of the Super Data Science Team, we will be building a Movie Recommandation System With Pytorch, using Stacked Autoencoders. In this project, we are trying to predict the ratings that a user will give to an unseen movie, based on the ratings he gave to other movies.Love Open Source and this site? Check out how you can help us