cviejom
Mine Planner and developer by day, Kaggle enthusiast by night. Pioneering advancements in the mining industry through ML & AI. Empowering machines to optimize m
Nevada Gold MinesNevada, USA
cviejom's Stars
cviejom/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree Program
cviejom/Investment-and-Trading
This project, consists on buildin a stock price predictor that takes daily trading data over a certain date range as input, and outputs projected estimates for given query dates. Note that the inputs will contain multiple metrics, such as opening price (Open), highest price the stock traded at (High), how many stocks were traded (Volume) and closing price adjusted for stock splits and dividends (Adjusted Close); your system only needs to predict the Adjusted Close price.
cviejom/cviejom
Config files for my GitHub profile.
cviejom/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-Learn
Hands-On Gradient Boosting with XGBoost and Scikit-Learn
PacktPublishing/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
keras-team/keras
Deep Learning for humans
cviejom/Spaceship-Titanic
Predict which passengers are transported to an alternate dimension
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
cviejom/TensorFlow-2-Deep-Learning
TensorFlow 2 for Deep Learning Specialization Examples
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
cviejom/Plagiarism-Detection
AWS SageMaker deployment project: Plagiarism detection model examines a text file and performs binary classification to determine if contents plagiarism exists base in an original file
cviejom/Sentiment-Analysis-Web-Application
AWS SageMaker deployment project: Determining the sentiment of a movie review using the IMDB data set and recurrent neural networks
cviejom/Elo-Merchant-Category-Recommendation
Kaggle Featured prediction competition: Help understand customer loyalty
cviejom/Biodiversity-for-the-National-Parks
Codecademy Project: Biodiversity for the National Parks, This project perform EDA in a species information dataset to identify endangered species
udacity/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
rdpeng/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera