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data-science-notebooks

Some of my works related to data science:

2018

August 2018 - Costa Rican Household Poverty Level Prediction

costa-rican-poverty: Notebooks & final predictor related to the kaggle competition.

June 2018 - Flower classification (iris dataset)

iris-classification: classification for the differnet types of iris flowers.

April 2018 - Spam classifier (apache)

spam-classifier: classification of email in spam or ham.

March 2018 - Handrwitten Digit (MNIST)

mnist-handwritten-digit: classification of handwritten digit.

February 2018 - House pricing

california-house-prices: predicting the prices of houses in california.

2017

September 2017 - Titanic survivor

titanic-survivor: predicting the survivors of the maiden voyage of the RMS titanic.

August 2017 - SEM Marketing

sem-marketing: predicting the average expense of one user, after having click on a SEM campaign.

You can also check my web-service that do some digit recognition.

July 2017 - Bank telemarketing

bank-telemarketing: predicting the success of a bank telemarketing campaign ;

February 2017 - Udacity course "Intro to Machine Learning"

ud-120-projects: Exercises related to the Udacity Course "Intro to Machine Learning"

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