Pinned Repositories
17_Classification
17 Classification Algorithms using R
Awesome-CV
Awesome CV is LaTeX template for your outstanding job application
AwesomeCV
CV template based on moderncv class
BiocInstaller
This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/BiocInstaller.html Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=BiocInstaller.
course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
cpu_performance
19 regression models in R using CPU-Performance data
cv.ts
Cross-validate time series forecasts
datasciencecoursera
datasciencecoursera
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
000Nelson000's Repositories
000Nelson000/17_Classification
17 Classification Algorithms using R
000Nelson000/Awesome-CV
Awesome CV is LaTeX template for your outstanding job application
000Nelson000/BiocInstaller
This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/BiocInstaller.html Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=BiocInstaller.
000Nelson000/course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
000Nelson000/cpu_performance
19 regression models in R using CPU-Performance data
000Nelson000/DeepLearningBook
MIT Deep Learning Book in PDF format
000Nelson000/EBImage
:art: Image processing toolbox for R
000Nelson000/forecastxgb-r-package
An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
000Nelson000/ggplot2-book
The ggplot2 book
000Nelson000/googleVis
Interface between R and the Google Chart Tools
000Nelson000/knitr-examples
a collection of knitr examples
000Nelson000/mlr
mlr: Machine Learning in R
000Nelson000/moderncv
A modern curriculum vitae class for LaTeX
000Nelson000/pandoc-moderncv
Pandoc-ModernCV is a Pandoc facilities for typesetting modern curriculums vitae. Inspired by the well known Latex ModernCV, it is fairly customizable, allowing you to use predefined themes and to define your own style by changing colors, fonts, etc.
000Nelson000/pipeliner
Machine learning pipelines for R
000Nelson000/PlayRecommendSystem
This is the play-ground of recommended system
000Nelson000/plotly
Create interactive web graphics from R via plotly's JavaScript graphing library
000Nelson000/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
000Nelson000/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
000Nelson000/pytube
A Python library for downloading YouTube videos
000Nelson000/rhandsontable
An htmlwidgets implementation of Handsontable.js
000Nelson000/scikit-learn
scikit-learn: machine learning in Python
000Nelson000/simpleblog
View blog here: http://brooksandrew.github.io/simpleblog
000Nelson000/spark-knn-recommender
Item and User-based KNN recommendation algorithms using PySpark
000Nelson000/tensorflow
TensorFlow for R
000Nelson000/tensorflow-1
Computation using data flow graphs for scalable machine learning
000Nelson000/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
000Nelson000/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
000Nelson000/xtoy
Go from 'X' to 'y' without effort.
000Nelson000/youtube-dl
Command-line program to download videos from YouTube.com and other video sites