marcotav

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

choice-based-conjoint

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.

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.

hotels

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.

oniricus

Machine learning applications in Finance.

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.

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.

website-publications-and-data-science-portfolio

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

marcotav/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.

marcotav/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.

marcotav/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.

marcotav/choice-based-conjoint

marcotav/website-publications-and-data-science-portfolio

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

marcotav/awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

marcotav/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

marcotav/miscellaneous

marcotav/Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

marcotav/data-engineering-tutorials

marcotav/open-quant-live-book

An open source hands-on introductory book to learn quantitative finance and its multiple facets.

marcotav/Time-Series-and-Financial

Time series and Financial analysis in python

marcotav/100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

marcotav/AI_in_Finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

marcotav/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

marcotav/arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

marcotav/awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

marcotav/data-science-from-scratch

code for Data Science From Scratch book

marcotav/python-scripts

Collection of Python scripts

marcotav/awesome-php

A curated list of amazingly awesome PHP libraries, resources and shiny things.

marcotav/Best-README-Template

An awesome README template to jumpstart your projects!

marcotav/code_snippets

marcotav/CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

marcotav/electron-markdownify

:closed_book: A minimal Markdown editor desktop app

marcotav/git-point

GitHub in your pocket :iphone:

marcotav/HackerRank

Hacker Rank solutions

marcotav/re-frame

A Reagent Framework For Writing SPAs, in Clojurescript.

marcotav/reveal.js

The HTML Presentation Framework

marcotav/size-limit

Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.

marcotav/temp1