accelerometers_wearable_data---getting_and_cleaning

The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

beats_club

binary_classification--car_accident_severity_prediction

This is a ML Accident Severity Predicting project

celebs_4_u

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.

daily_activity_monitoring--exploratory_data_analysis

Peer Assessment 1 for Reproducible Research

data_modeling--sparkify_songplays_database_with_postgres-and-python

data_warehouse---sparkify_songplays_-aws-

dotfiles

Default configuration for Le Wagon's students

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.

github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

gtsa

My personal repository

gtsa.github.io

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.

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.

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.

maximum_spatial_service_overlap---python-aws-

my_google_maps_saved_places--leaflet_application

Basic Leaflet application with my Google Maps' saved places until 22/01/20

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.

r_programming_assignment---air_pollution_lexical_scoping---johns_hopkins

Repository for Programming Assignment 2 for R Programming on Coursera

rails-ajax-reviews

rails-longest-word-game

rails-simple-airbnb

rails-stupid-coaching

rails-task-manager

rails-watch-list

rails-wikinimous

rails-yelp-mvp

rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)