Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-ggplot2
A curated list of awesome ggplot2 tutorials, packages etc.
awesome-public-datasets
A topic-centric list of HQ open datasets.
awesome-random-forest
Random Forest - a curated list of resources regarding random forest
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
banned-license-plates
Using R and Keras to generate banned license plates
BasketballData
Bayesian-Analysis-with-Python-Second-Edition
Bayesian Analysis with Python - Second Edition, published by Packt
Leticia-Han's Repositories
Leticia-Han/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
Leticia-Han/banned-license-plates
Using R and Keras to generate banned license plates
Leticia-Han/BasketballData
Leticia-Han/Bayesian-Analysis-with-Python-Second-Edition
Bayesian Analysis with Python - Second Edition, published by Packt
Leticia-Han/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Leticia-Han/BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
Leticia-Han/BDA_py_demos
Bayesian Data Analysis demos for Python
Leticia-Han/cheatsheets
RStudio Cheat Sheets
Leticia-Han/Creating-maps-in-R
Introductory tutorial on graphical display of geographical information in R.
Leticia-Han/deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
Leticia-Han/dl-keras-tf
rstudio::conf(2020) deep learning workshop
Leticia-Han/empirical-bayes-book
Introduction to Empirical Bayes: Examples from Baseball Statistics
Leticia-Han/keras-hello-world
Leticia-Han/keras-workshop
Data and scripts for keras course
Leticia-Han/LSTM_Book_Genearator
Generate a book using RNN and LSTM cells.
Leticia-Han/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Leticia-Han/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Leticia-Han/pet-names
Generating pet names - creating an R Keras model and deploying it in a Docker container
Leticia-Han/PM_timeline
An example of R HTML custom visuals in Power BI
Leticia-Han/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Leticia-Han/PythonStdioGames
A collection of text-based games written in Python 3 that only use "standard i/o".
Leticia-Han/r-color-palettes
Comprehensive list of color palettes available in r ❤️🧡💛💚💙💜
Leticia-Han/r-tensorflow-api
A small Docker container for using R and TensorFlow as an enterprise API
Leticia-Han/r4ds
R for data science: a book
Leticia-Han/Recipes
Lasagne recipes: examples, IPython notebooks, ...
Leticia-Han/Rtistic
A hackathon-in-a-box / "cookbook" to help build an R package with custom RMarkdown themes and ggplot2 themes & palettes. This looks like a package but it is not intended to be installed as-is. It is a wireframe to be used by an individual or group to create their *own* package!
Leticia-Han/shinyMons
shiny app for pokemons
Leticia-Han/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Leticia-Han/text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Leticia-Han/useR2020-text-modeling-tutorial