Pinned Repositories
CELEBS_4_U
Binary_Classification--Car_Accident_Severity_Prediction
This is a ML Accident Severity Predicting project
How_well_do_you_perform_your_work-out---ML_Case-Study
In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without Model Stacking, with or without Dimensionality Reduction (with Principal Component Analysis (PCA) or Near-Zero Variance Predictors Filtering)
Image_Processing---3-class_Season_Classification
This is a 3-class classification problem where we try to develop and optimize an algorithm to classify the season (Fall, Winter, Spring) represented on each one of the images of our set.
Iris_dataset_Interactive_Regression--Shiny_Application
This project builds an interactive tool that, based on the iris dataset, predicts the width of the sepals/petals given their corresponding length.
NLP_Next-Word_Prediction_Language_Model
Based on NLP techniques, our language model built its understanding of the English language from 3 different corpora: a list of blog posts, a list of news articles, and a list of tweets.
Statistical_Inference-Simulation_n_Inferential_Data_Analysis
In this project, based on the *mtcars* dataset (from the 1974 Motor Trend US magazine) we are interested in the comprehension of the relationships between dataset's cars' fuel consumption and a set of variables, trying, in particular, to model and quantify the one between the consumption and the car's transimission type.
VisROC_2
gtsa's Repositories
gtsa/How_well_do_you_perform_your_work-out---ML_Case-Study
In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without Model Stacking, with or without Dimensionality Reduction (with Principal Component Analysis (PCA) or Near-Zero Variance Predictors Filtering)
gtsa/Iris_dataset_Interactive_Regression--Shiny_Application
This project builds an interactive tool that, based on the iris dataset, predicts the width of the sepals/petals given their corresponding length.
gtsa/Binary_Classification--Car_Accident_Severity_Prediction
This is a ML Accident Severity Predicting project
gtsa/Image_Processing---3-class_Season_Classification
This is a 3-class classification problem where we try to develop and optimize an algorithm to classify the season (Fall, Winter, Spring) represented on each one of the images of our set.
gtsa/Statistical_Inference-Simulation_n_Inferential_Data_Analysis
In this project, based on the *mtcars* dataset (from the 1974 Motor Trend US magazine) we are interested in the comprehension of the relationships between dataset's cars' fuel consumption and a set of variables, trying, in particular, to model and quantify the one between the consumption and the car's transimission type.
gtsa/VisROC_2
gtsa/BEATS_CLUB
gtsa/CELEBS_4_U
gtsa/Consumption_vs_Transmission_mtcars---Regression_Model_Building
In this project, based on the *mtcars* dataset (from the 1974 Motor Trend US magazine) we are interested in the comprehension of the relationships between dataset's cars' fuel consumption and a set of variables, trying, in particular, to model and quantify the one between the consumption and the car's transimission type.
gtsa/Daily_Activity_Monitoring--Exploratory_Data_Analysis
Peer Assessment 1 for Reproducible Research
gtsa/Data_Modeling--Sparkify_Songplays_DataBase_with_Postgres-and-Python
gtsa/Data_Warehouse---Sparkify_Songplays_-AWS-
gtsa/dotfiles
Default configuration for Le Wagon's students
gtsa/Electric_Power_Consumption--Exploratory_Data_Analysis
This project's goal is simply to examine how household energy usage varies over a 2-day period in February 2007, reconstructing some specific plots using the base plotting system.
gtsa/github-stats-transparent
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
gtsa/gtsa
My personal repository
gtsa/gtsa.github.io
gtsa/Impact_of_severe_weather_events_USA_1950-2011--Exploratory_Data_Analysis
This brief report is examining the most damaging types of weather events in terms of fatalities and economic impact throughout the USA from 1950 to 2011. Severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.
gtsa/Maximum_Spatial_Service_Overlap---Python-AWS-
gtsa/My_Google_Maps_saved_places--Leaflet_application
Basic Leaflet application with my Google Maps' saved places until 22/01/20
gtsa/rails-ajax-reviews
gtsa/rails-longest-word-game
gtsa/rails-simple-airbnb
gtsa/rails-stupid-coaching
gtsa/rails-task-manager
gtsa/rails-watch-list
gtsa/rails-wikinimous
gtsa/rails-yelp-mvp
gtsa/US_Fine_Particulate_Matter--Exploratory_Data_Analysis
This project's goal is to explore the National Emissions Inventory database and see what it say about fine particulate matter pollution in the United states over the 10-year period 1999–2008.
gtsa/World_Temperature_last_150_years--Plotly_application
The following illustrates the change in global surface temperature relative to 1951-1980 average temperatures.