josumsc

employee_attrition_analysis

Code in R to describe and analyse employee attrition and predict it using statistical models.

credit-card-fraud-detection

Code to prevent credit card fraud based on the data located at https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud

daily-climate-ts

Forecasting of the dataset located at https://www.kaggle.com/datasets/sumanthvrao/daily-climate-time-series-data

fake-news-detector

API REST for detecting if a text correspond to a fake news or to a legitimate one. It's served using Flask and uses a fine-tuned BERT model.

movielens-recommender

MovieLens 100K dataset exploration and recommender system building

twitter-sentiment-analysis

ML web app that can be deployed through Docker to analyse the sentiment of tweets.

airlines-sentiment-analysis

Analysis of the information located at https://www.kaggle.com/crowdflower/twitter-airline-sentiment combined with the official dataset at https://www.transtats.bts.gov/Fields.asp?gnoyr_VQ=FGJ

automobile_cleaning

Cleaning, preparation and analysis of the data from https://archive.ics.uci.edu/ml/datasets/Automobile

classic-ml-sentiment-analysis

Exercise to use simple ML models to perform sentiment analysis and show they are still relevant to the task

CovidBCN

Project based on getting data from public sources and combine it into a single DDBB to explore

darts-forecasting

General project to learn about Darts module in Python

dogs-vs-cats

Resolution of the classification problem stated at https://www.kaggle.com/uysimty/keras-cnn-dog-or-cat-classification using Keras and ConvNets

helm-charts

Community Helm Charts

house-prices-regression-kaggle

Attempt at the Kaggle competition based on https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview

hr-analytics-ds

Data Discovery and Modeling of the set located at https://www.kaggle.com/arashnic/hr-analytics-job-change-of-data-scientists

josumsc

josumsc.github.io

Personal blog about Data and AI related topics

m1_max_testing

Tensorflow testing on m1 Mac

multi30k-machine-translation

Training of a machine translation system from English to German from the ground up. It uses the dataset contained at https://github.com/multi30k/dataset/tree/master/data/task1/raw

names-analysis-ny

Analysis made to discover patterns in baby names on the NY state. Data to be located at https://health.data.ny.gov/Health/Baby-Names-Beginning-2007/jxy9-yhdk

retrocket-implicit-recommender

Implicit Collaborative Filtering trained on the RetailRocket dataset based on the ideas from arXiv:2009.08950

search_with_machine_learning_course

Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.

time-series-datasets-forecasting

Quick and dirty forecasting of the time series datasets located at https://www.kaggle.com/shenba/time-series-datasets?select=sales-of-shampoo-over-a-three-ye.csv

titanic_ml_python

Attempt at the Kaggle competition https://www.kaggle.com/c/titanic/ based on the famous Titanic dataset

web_scrapping_datosmacro

Scrapes the website https://datosmacro.expansion.com/ to get a dataset describing the evolution of the 3 main indicators for the petroleum price between 2000-01 and 2020-10.