dhr99's Projects
Data exploration of Madrid Airbnb dataset with r
The accompanying code for my article: https://becominghuman.ai/probabilistic-approaches-to-combinatorial-optimization-2aa0397a795f
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
General Assembly's Data Science course in Washington, DC
Data and code behind the articles and graphics at FiveThirtyEight
Detecting Fake News with 52,000 article with %97 Accuracy
Script used for the Digit Recognizer competition in Kaggle. Score: 0.97
Competition Description 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.
Tutorials on how to use pandas effectively to do data analysis
Logistic Regression and Random Forest prediction for a McKinsey Hackathon. ROC AUC: 0.764
Practice your pandas skills!
Code from winning competitors in the Pump it Up competition on DrivenData.
Python for Finance (O'Reilly)
Python Deep Dive Course - Accompanying Materials
100+ Python challenging programming exercises
Few personal projects to practice(click on the different branches to see them)
Julia implementation of QuantEcon routines
Just little bits.
The missing link between spreadsheets and data visualization
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don't stick around. What's more, unhappy customers rarely voice their dissatisfaction before leaving. Santander Bank is asking Kagglers to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer's happiness before it's too late. In this competition, you'll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.
Practice with "Real" SQL Problems
Spanish stopwords collection
A sample MySQL database with an integrated test suite, used to test your applications and database servers
Text classification for real and fake news
Submission for the kaggle competition of titanic
Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional, which need some repairs, and which don't work at all? This is an intermediate-level practice competition. Predict one of these three classes based on a number of variables about what kind of pump is operating, when it was installed, and how it is managed. A smart understanding of which waterpoints will fail can improve maintenance operations and ensure that clean, potable water is available to communities across Tanzania.
Repositorio de la Web Empresarial del curso Django 2