Pinned Repositories
advanced-r-statistical-programming-and-data-models
Source Code for 'Advanced R Statistical Programming and Data Models' by Matt Wiley and Joshua F. Wiley
ai-developer
airbnb
Project analyzing Airbnb Rental data
airbnb-cities
Data Analysis and Visualization on Airbnb Data
airbnb-streamlit
Explorando airbnb con streamlit
Applied-Machine-Learning-Ensemble-Modeling-live-training
Live Training Session: Applied Machine Learning:Ensemble Modeling
Datos-COVID19
En formato estándar
Forsk
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
LRP_for_LSTM
Layer-wise Relevance Propagation (LRP) for LSTMs
1965aafc's Repositories
1965aafc/coronavirus_dashboard
The Coronavirus dashboard: the case of Belgium.
1965aafc/LRP_for_LSTM
Layer-wise Relevance Propagation (LRP) for LSTMs
1965aafc/GUIAD-COVID.github.io
Sitio web del grupo GUIAD-COVID
1965aafc/mastering-shiny
Mastering Shiny: a book
1965aafc/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
1965aafc/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
1965aafc/TabularEditor
A lightweight editor for SSAS Tabular Models built in .NET/WinForms
1965aafc/R-for-Data-Science-High-Volume
Excercise files for LinkedIn Learning course
1965aafc/sudoku-solver
GUI Sudoku Solver using Pygame
1965aafc/ExPanDaR
R Package for Interactive Panel Data Exploration
1965aafc/predicting-poverty-replication
A Python3 and PyTorch replication of Jean et. al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
1965aafc/devblog3
another dev blog attempt
1965aafc/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
1965aafc/shap
A game theoretic approach to explain the output of any machine learning model.
1965aafc/predicting-poverty
Combining satellite imagery and machine learning to predict poverty
1965aafc/iotwins_foursquare
Analysis and Visualization of Foursquare Flows
1965aafc/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
1965aafc/incubator-echarts
A powerful, interactive charting and visualization library for browser
1965aafc/brew
🍺 The missing package manager for macOS (or Linux)
1965aafc/ml_course
Machine learning course material
1965aafc/convey
variance of distribution measures estimation of survey data
1965aafc/airbnb-streamlit
Explorando airbnb con streamlit
1965aafc/tidytuesday
#TidyTuesday events of the R4DS Online Learning Community.
1965aafc/rmarkdown-cookbook
[WIP] R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.
1965aafc/UEMC_PROG
Este repositorio almacena los programas de Técnicas de Programación
1965aafc/dataviz
Support files for "Data Visualization: A Practical Introduction"
1965aafc/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
1965aafc/Python-for-PDF
Code used in my Medium Story https://medium.com/@umerfarooq_26378/python-for-pdf-ef0fac2808b0
1965aafc/sustainable-dev-goals-forecasting
Time-series forecasting using machine learning methods
1965aafc/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison