Andres Segura-Tinoco's repositories
Algorithms
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
MachineLearning
Practical 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.
TwitterAnalytics
Web 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_Surprise
Project 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.
DataScience_FIFA19Data
Data 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.
RS_CF_LastFm
Recommender 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.
DataRegressors
Ongoing 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.
WebScraping_Covid19
Web Scraping project to obtain data on confirmed cases and deaths of Covid-19, in order to analyze them.
DSL_Analysis
Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
DataViz_VideoGameSales
Visual 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.
ML_ObjectivityDetection
Data analytics project in R to create a predictive model for the detection of objectivity in sports articles, based on co-training.
ansegura7.github.io
This is the current version of my personal website. It was create with the Beautiful Jekyll template.
covid19-col-disease-impact
Analysis 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.
DataCompression
Project 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.
recsys-tweet-analysis
Analysis of the interaction between Twitter users during the ACM RecSys 2021 and 2022 conferences.
TextProcessing_CiteSeerUMD
Program 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_PageRank
Program 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.
WorldHappinessReport
Clustering analysis on the data from the World Happiness Report 2021.
django-crud
Example of a CRUD web application, using the Django framework.
huggingface
Hugging face notebooks.
lotteryViz
A simple app to choose randomly students for questions on my class
ML_CHD_Prediction
Data science project in R to create a predictive model of the CHD risk, based on supervised learning.
PersonalWebsite
This is the repository of the first version of my personal website.
ruby-getting-started
Getting Started with Ruby on Heroku
suboptimal
Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning
VA_FinalProject_MOOC
A research group, composed of students from the MINE master's program and professors from the Psychology Department of the Universidad de los Andes, wishes to gain an understanding and use of the data collected during the last 3 years of the Massive Open Online Course "Sexuality ... much more than sex" provided by the Coursera platform.