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marcotav

Stars
254
Global Rank 101,923 (Top 4 %)
Followers 474
Following 132
Registered over 8 years ago
Most used languages

Jupyter Notebook
94.4 %

Python
5.6 %
Location 🇧🇷 Brazil
Country Total Rank 1,512
Country Ranking

Jupyter Notebook
37

deep-learning

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

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supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

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natural-language-processing

This repo contains my natural language processing projects including the use of neural language models for text generation based on Spinoza's works and a sentiment analysis "in reverse" applied to movie reviews.

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unsupervised-learning

This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.

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choice-based-conjoint

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exploratory-data-analysis

This repo contains a detailed exploratory analysis of the West Nile Virus outbreak in the US and a statistical analysis of SAT and ACT decline in participation rates.

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website-publications-and-data-science-portfolio

This is a list of my published works. For more details check my Google Scholar profile.

oniricus

Machine learning applications in Finance.

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hotels

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applications-of-time-series-analysis

Application of time series analysis, including the Bayesian type, to several problems.

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topics-in-machine-learning

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miscellaneous

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quantum-systems-out-of-equilibrium

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data-engineering-tutorials

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machine-learning-regression-models

This repository contains only projects using regression analysis techniques. Examples include a comprehensive analysis of retail store expansion strategies using Lasso and Ridge regressions.

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marcotav.github.io

Projects descriptions

machine-learning-bits-and-pieces

Small machine learning projects of all types.

Jupyter Notebook

machine-learning-code-snippets

This notebook contain code that compares different models in a fast way.

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predicting-number-of-comments-on-reddit-using-random-forest-classifier

I determine which characteristics of a post on Reddit contribute most to the overall interaction as measured by number of comments. We first colect data by scraping Reddit, we then use Natural Language Processing to convert text data to features that enable us to build models and then we build a Random Forest classifier that predicts whether or not a given Reddit post will have above or below the median number of comments.

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python-scripts

Collection of Python scripts

Python

summary-projects

Summary of projects with links.

marcotav

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