Pinned Repositories
Algorithmic_trading
Technical Analysis Project for Microstructure and Trading Systems Course, using EMA, SRSI and ATR with Backtesting and Optimization
Atrato_JR_DS_Challenge
building_scalable_model_pipelines
Data Science in Production: Building Scalable Model Pipelines
Concurso-Interuniversitario-BMV-Peeptrade
Repositorio para el Concurso Interuniversitario BMV-Peeptrade
credit_card_fraud_detection
The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.
EDA
Exploratory Data Analysis automation
effective_xgboost
Effective XGBoost book practice
ETL-pipeline
Python pipeline to efficiently Extract, Transform, and Load data into a Data Warehouse or Data Lake. The project objective is to help a fictional private equity firm process the sales data they need to make informed business decisions when buying real estate.
GCP_MLOPs
MLOPs Model Deployment with Google Cloud Platform
Proyecto-SPF
Financial Processes Simulation Project. In this project, we analyzed a 40 MB dataset with 16 columns and about 40k rows. Containing YouTube statistics like views, comments, likes, dislikes, etc. Some statistic and quantitative methods used are: Monte Carlo Simulation, Variance Reduction, Q-Q Plot Test, EDA, Random Variables Generation, Kolmogorov-Smirnov Test, Kernel Density Estimation, Stratified Sampling, etc.
Ruhguevara's Repositories
Ruhguevara/effective_xgboost
Effective XGBoost book practice
Ruhguevara/Proyecto-SPF
Financial Processes Simulation Project. In this project, we analyzed a 40 MB dataset with 16 columns and about 40k rows. Containing YouTube statistics like views, comments, likes, dislikes, etc. Some statistic and quantitative methods used are: Monte Carlo Simulation, Variance Reduction, Q-Q Plot Test, EDA, Random Variables Generation, Kolmogorov-Smirnov Test, Kernel Density Estimation, Stratified Sampling, etc.
Ruhguevara/Algorithmic_trading
Technical Analysis Project for Microstructure and Trading Systems Course, using EMA, SRSI and ATR with Backtesting and Optimization
Ruhguevara/Atrato_JR_DS_Challenge
Ruhguevara/building_scalable_model_pipelines
Data Science in Production: Building Scalable Model Pipelines
Ruhguevara/Concurso-Interuniversitario-BMV-Peeptrade
Repositorio para el Concurso Interuniversitario BMV-Peeptrade
Ruhguevara/credit_card_fraud_detection
The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.
Ruhguevara/EDA
Exploratory Data Analysis automation
Ruhguevara/ETL-pipeline
Python pipeline to efficiently Extract, Transform, and Load data into a Data Warehouse or Data Lake. The project objective is to help a fictional private equity firm process the sales data they need to make informed business decisions when buying real estate.
Ruhguevara/GCP_MLOPs
MLOPs Model Deployment with Google Cloud Platform
Ruhguevara/Proyecto-PI
Proyecto final de Portafolios de Inversión
Ruhguevara/Proyecto_modulo3
Ruhguevara/lip_reading
Ruhguevara/MGP
Mega Guided Projects
Ruhguevara/papers
Ruhguevara/prompt_engineering
OpenAI - DeepLearning.AI Prompt Engineering Course
Ruhguevara/Ruhguevara
GitHub Profile
Ruhguevara/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
Ruhguevara/template
Data Science Template