dhr99 Goto Github PK

airbnb-madrid

Data exploration of Madrid Airbnb dataset with r

combinatorial-optimization

The accompanying code for my article: https://becominghuman.ai/probabilistic-approaches-to-combinatorial-optimization-2aa0397a795f

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dat8

General Assembly's Data Science course in Washington, DC

data

Data and code behind the articles and graphics at FiveThirtyEight

detecting_fake_news

Detecting Fake News with 52,000 article with %97 Accuracy

digit-recognizer

Script used for the Digit Recognizer competition in Kaggle. Score: 0.97

hitchhikers-guide-machine-learning

house-prices

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.

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

mckinsey_hackathon_dataprediction

Logistic Regression and Random Forest prediction for a McKinsey Hackathon. ROC AUC: 0.764

pandas_exercises

Practice your pandas skills!

pump-it-up

Code from winning competitors in the Pump it Up competition on DrivenData.

py4fi

Python for Finance (O'Reilly)

python-deepdive

Python Deep Dive Course - Accompanying Materials

python-programming-exercises

100+ Python challenging programming exercises

python-projects

Few personal projects to practice(click on the different branches to see them)

quantecon.jl

Julia implementation of QuantEcon routines

random_hackery

Just little bits.

raw

The missing link between spreadsheets and data visualization

santander-customer-satisfaction-kaggle

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.

sql-exercise

Practice with "Real" SQL Problems

stopwords-es

Spanish stopwords collection

test_db

A sample MySQL database with an integrated test suite, used to test your applications and database servers

text-classification

Text classification for real and fake news

titanic_kaggle

Submission for the kaggle competition of titanic

water-pump

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.

webempresa

Repositorio de la Web Empresarial del curso Django 2