ernestcr
Mobile: (+51) 991744003, Training/Classes: ECR@gwu.edu - Consultorías/Asesorías: Director@EDCRconsulting.com
George Washington University/HarvardUnited States/Switzerland/Peru/Argentina
Pinned Repositories
asteroids
Simple Asteroids clone written in JavaScript. Play here: http://bencrowder.github.io/asteroids/
azure-docs
Open source documentation of Microsoft Azure
Banca-Qulqi-Web
Página web de Banca Qulqi
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
ECR-High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
ECR-LSTM-Neural-Network-for-Time-Series-Prediction
LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.
ECR-Pattern-Recognition-for-Forex-Trading
Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).
ECR-Tensorflow-for-Stock-Prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Predicting-Stock-Prices-with-Linear-Regression-ErnestoCR
SistemaDeAlertaSismica
Los movimientos telúricos suelen ir a un máximo de 10km/h , por lo que es posible mandar un mensaje de alerta temprana a los lugares medianamente alejados del epicentro decenas de segundos antes de que suceda un sismo. El sistema consiste en acelerómetros que son capaces de reportar sismos y enviar señales para que las sirenas empiezan a sonar para empezar la evacuación de edificios.
ernestcr's Repositories
ernestcr/azure-docs
Open source documentation of Microsoft Azure
ernestcr/learning_emotions_with_emojis
Predict human emotions in tweets by mapping emojis into the Valence-Arousal space (Russell, 2005). LSTM models the sequence learning of words within the tweets.
ernestcr/ml_en_produccion
ernestcr/mlcourse.ai
Open Machine Learning course mlcourse.ai, both in English and Russian
ernestcr/Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
ernestcr/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
ernestcr/how_to_deploy_a_keras_model_to_production
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
ernestcr/Inteligencia-Artificial
Todo el contenido genérico sobre Inteligencia Artficial
ernestcr/Introduction-to-NumPy-Matplotlib-TensorFlow
NumPy fundamentals for tensor computation; Matplotlib for data visualization
ernestcr/ISL-linear-regression
ernestcr/jupyter_demonstrations
Random jupyter notebooks on data analysis and machine learning
ernestcr/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
ernestcr/links
ernestcr/LoanDefault-Prediction
Lending Club Loan data analysis
ernestcr/M
Collection of cutom M functions for Power Query and Power BI
ernestcr/M-Guide
Collection of native M functions with unexpected behaviour and their workarounds.
ernestcr/Math-of-Machine-Learning-Course-by-Siraj
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
ernestcr/mlcourse.ai-1
ernestcr/mnist-kmeans-from-scratch
MNIST digits kmeans clustering from scratch
ernestcr/mundo-de-spark-en-r
ernestcr/Provas-POSCOMP
Provas e gabaritos da POSCOMP, sem marcação das respostas :books:
ernestcr/pyxel
A retro game engine for Python
ernestcr/Q-Learning-for-Trading
ernestcr/Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
ernestcr/resolving_mlcourse_ai
ernestcr/sports_betting_with_reinforcement_learning
This is the code for "Sports Betting with Reinforcement Learning" By Siraj Raval on Youtube
ernestcr/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
ernestcr/tforce_btc_trader
TensorForce Bitcoin Trading Bot
ernestcr/trading-with-python
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
ernestcr/trado
Trado is a lightweight, easy to use ecommerce platform; designed to allow developers to quickly deploy a premium ecommerce store for their business