Rub2.7182n's repositories
effective_xgboost
Effective XGBoost book practice
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.
Algorithmic_trading
Technical Analysis Project for Microstructure and Trading Systems Course, using EMA, SRSI and ATR with Backtesting and Optimization
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.
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-PI
Proyecto final de Portafolios de Inversión
MGP
Mega Guided Projects
prompt_engineering
OpenAI - DeepLearning.AI Prompt Engineering Course
Ruhguevara
GitHub Profile
Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
template
Data Science Template