AlgorithmsFree hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
NLPFree hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries.
MachineLearningPractical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts and techniques of Machine Learning, Deep Learning and NLP.
TwitterAnalyticsWeb Mining project in which Descriptive Statistics and NLP techniques are used to analyze the behavior of a Twitter account and the content of their respective tweets.
RS_SurpriseProject with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.
TSPProject in Java to solve the Travelling Salesman Problem (TSP). An approximation solution with a self-organizing maps (SOM) is proposed.
RS_CF_LastFmRecommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.
DataScience_FIFA19DataData Science Project with Python to analyze and discover insights of the detailed attributes of each player registered in the latest edition of FIFA 19 database.
WebScraping_Covid19Web Scraping project to obtain data on confirmed cases and deaths of Covid-19, in order to analyze them.
DataRegressorsOngoing project that performs the regression of a continuous variable (oil rate) from a set of associated variables using different ML and DL techniques, such as linear regression, time series or neural networks.
DSL_AnalysisDescriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
ML_ObjectivityDetectionData analytics project in R to create a predictive model for the detection of objectivity in sports articles, based on co-training.
DataViz_VideoGameSalesVisual Analytics project to analyze and discovery insights of video game sales in recent years, with the high-level API plotly.express. The dataset contains a list of video games with sales greater than 100,000 copies.
WorldHappinessReportClustering analysis on the data from the World Happiness Report 2021.
recsys-tweet-analysisAnalysis of the interaction between Twitter users during the ACM RecSys 2021 and 2022 conferences.
ansegura7.github.ioThis is the current version of my personal website. It was create with the Beautiful Jekyll template.
DataCompressionProject in which we explore different algorithms and compression approaches such as Huffman coding or entropy change. The distribution of the symbols of the compressed files (image, electronic book, etc.) is also analyzed.
covid19-col-disease-impactAnalysis and prediction of the impact of Covid-19 on certain diseases and key indicators in the Colombian health system. The project was approached with data science and machine learning techniques.
TextProcessing_CiteSeerUMDProgram that preprocesses a collection of documents to calculate the frequency of the most common terms and identify the keywords of each document. The first time will do it without using the stemming technique and without removing the stopwords. The second time will use these techniques.
TextProcessing_PageRankProgram that use a direct graph and the PageRank algorithm (both simple and weighted). Use of the TF-IDF algorithm to calculate the relevance of the terms of the document collection.