Data/Coding

Machine Learning, Deep Learning, Natural Language Processing, Time Series, Bayesian Statistics, Computational Quantum Physics, Finance, and others

Marco Tavora’s Projects

Links to several short projects I’ve been working on. Topics and techniques include: machine learning algorithms (retail location prediction, churn analysis, analysis of clicks on digital ads and others), deep learning algorithms (image classifiers, LSTM, transfer learning), natural language processing applications (language models, sentiment analysis), time series analysis (vector error correction models in Finance), topic modeling, Bayesian structural Time Series, clustering algorithms, principal component analysis (PCA), computational physics (quantum mechanics of many particles) and others.

For more information about each project (description and code), hover the mouse over the pictures and click on them.

Painter Identification with Convolutional Neural Nets

Painter Identification with Convolutional Neural Nets

Tennis Match Predictions with Random Forests

Tennis Match Predictions with Random Forests

Predicting Comments On Reddit using NLP

Predicting Comments On Reddit using NLP

Predicting Customer Churn with SVM, kNN and Naive Bayes

Predicting Customer Churn with SVM, kNN and Naive Bayes

Principal Components Analysis (PCA) And Wines

Principal Components Analysis (PCA) And Wines

Predicting Clicks On Digital Ads

Predicting Clicks On Digital Ads

Retail Expansion using Lasso and Ridge

Retail Expansion using Lasso and Ridge

Deep Learning and Bitcoin Price Data

Deep Learning and Bitcoin Price Data

Deep Learning With Keras And TensorFlow

Deep Learning With Keras And TensorFlow

Neural Language Models And Spinoza's Ethics

Neural Language Models And Spinoza's Ethics

Sentiment Analysis Of Movie Reviews

Sentiment Analysis Of Movie Reviews

Topic Modeling Applied To A Corpus Of Research Papers

Topic Modeling Applied To A Corpus Of Research Papers

Clustering Algorithms Applied To Data With Mixed Types (In R)

Clustering Algorithms Applied To Data With Mixed Types (In R)

Data Engineering Basics (first version)

Data Engineering Basics (first version)

Vector Error Correction Model (VECM): Applications In Finance

Vector Error Correction Model (VECM): Applications In Finance

Bayesian Structural Time-Series Models (BSTM)

Bayesian Structural Time-Series Models (BSTM)

Choice Models and Conjoint Analysis

Choice Models and Conjoint Analysis

Many-Body Localization (MBL) using Python and QuSpin

Many-Body Localization (MBL) using Python and QuSpin

Optimization with Python and Pulp

Optimization with Python and Pulp

Basics of Algo Trading

Basics of Algo Trading

CapsNets in Python and Keras (in preparation)

CapsNets in Python and Keras (in preparation)

Automatic Machine Learning (in preparation)

Automatic Machine Learning (in preparation)

Exploratory Analysis Of The West Nile Virus Problem Dataset

Exploratory Analysis Of The West Nile Virus Problem Dataset

Analysis Of The Decline Of Participation In Standardized Tests

Analysis Of The Decline Of Participation In Standardized Tests

SQL Tutorial using Python (first draft)

SQL Tutorial using Python (first draft)

Artificial Intelligence Art using Style Transfer (in preparation)

Artificial Intelligence Art using Style Transfer (in preparation)

Bayesian Models (in preparation)

Bayesian Models (in preparation)

Basic Natural Language Processing (in preparation)

Basic Natural Language Processing (in preparation)