Miguel Novo Villar's repositories
EthereumTokenRecommender-Spark-
End-To-End Data Intensive Appplication: Token Recommender on the Ethereum Blockchain (ERC-20 Tokens). Spark & Databricks
AustinTrafficAccidentsToday
Analyze where Accidents happen and Predict where accidents are likely to happen (Upcoming)
CongressionalTweetsClassification-
Congressional Tweet Classification (D or R). Logistic regression technique that exhibited 75% percent accuracy.
CountryClassificationOfCovidTweetsNLP
NLP model to classify Tweets by country and allocate topics with Latent Dirichlet Allocation techniques.
CreditRiskPredictiveModel
Classify credit risk as good or bad based on different parameters. Logistic Regression Model.
GraduationRatePredictor1
New York State Public Schools Graduation Rates: Predicting Success. Statistical Machine Learning.
-Roe-v.-Wade-Reddit-Graph-Analytics
Analysis of Meta-Communities Surrounding “Roe v. Wade” on Reddit: Graph Analytics.
BPL_PlayerTypePriceOptimization
This project seeks to explore the frequent line-ups of successful & unsuccessful clubs constrained by finances. To investigate this problem, the researchers (1) built a game week over game week linear optimized model, (2) used actual club squad rosters, and conducted (3) dissimilarity analysis by drawing a network exhibiting the distance between maximized frequent itemsets and minimized itemsets.
BPL_PlayerTypePriceOptimization1
Premier League (Soccer) Player Optimization
dscc202-402-spring2022
course materials for Data Science at Scale
dscc202-402-spring2022_finalproject
Final Project for dscc202-402-spring2022
geopandas-tutorial
Tutorial on geospatial data manipulation with Python
LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
mnovovil
Config files for my GitHub profile.