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2014 icon 2014

Official content for the Fall 2014 Harvard CS109 Data Science course

a-challenge-of-titanic-proportions icon a-challenge-of-titanic-proportions

This project goes over data science theories and data preprocessing, leveraging the Titanic data set provided by Kaggle. The goal is to determine which passengers will likely survive or perish the monumental tragedy. The binary classification problem is addressed using two methods, each with three machine learning algorithms. The first approach taken was a classical one where the training and testing sets were split manually. The second was to use the split data sets given without any unnecessary manipulations. Applied in both methods respectively, the Logit model (With and without gradient descent), Random Forests, and Support Vector Machines. Results showed that when we use the given partitioning, accuracy rates are close to 100%. In contrast, if we address the problem using the classical method we see an accuracy of approximately 85%.

arcgis-jupyter icon arcgis-jupyter

En este repositorio se encuentran ejemplos de como integrar el API de ArcGIS para python con Jupyter para analizar, administrar y automatizar un webGIS.

azure-tdsp-utilities icon azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

bitcoinbook icon bitcoinbook

Mastering Bitcoin - Unlocking digital currencies - Early Release Draft

byte-of-python icon byte-of-python

Beginners book on Python - start here if you don't know programming

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covdata icon covdata

COVID-related data from a variety of sources, packaged for use in R

dagdata icon dagdata

Data for the HarvardX courses: PH525x

docker icon docker

Docker - the open-source application container engine

docplex-examples icon docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

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