Pinned Repositories
100DaysOfMLCode
awesome
:sunglasses: Curated list of awesome lists
coding-interview-university
A complete computer science study plan to become a software engineer.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data-engineer-learning-path
Materials used in Data Engineering with Databricks V3 training.
data-engineering-with-databricks-english
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
data-science-toolbox
A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.
datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
kerouax's Repositories
kerouax/100DaysOfMLCode
kerouax/awesome
:sunglasses: Curated list of awesome lists
kerouax/coding-interview-university
A complete computer science study plan to become a software engineer.
kerouax/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
kerouax/data-engineer-learning-path
Materials used in Data Engineering with Databricks V3 training.
kerouax/data-engineering-with-databricks-english
kerouax/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
kerouax/datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
kerouax/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
kerouax/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
kerouax/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
kerouax/dplyr
Dplyr: A grammar of data manipulation
kerouax/every-programmer-should-know
A collection of (mostly) technical things every software developer should know
kerouax/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
kerouax/FMsynthesis
FM synthesis visualization Shiny app
kerouax/free-programming-books
:books: Freely available programming books
kerouax/Getting-and-Cleaning-Data-Project
Project files for Getting and Cleaning Data course in Johns Hopkins University Data Science track.
kerouax/interviews
Everything you need to know to get the job.
kerouax/Introduction_to_Data_Science_Coursera
Introduction to Data Science Course by Bill Howe (University of Washington)
kerouax/PML_project
Practical Machine Learning project
kerouax/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
kerouax/python_reference
Useful functions, tutorials, and other Python-related things
kerouax/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
kerouax/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
kerouax/spleeter
Deezer source separation library including pretrained models.
kerouax/system-design-interview
System design interview for IT companies
kerouax/Tech_Notes
Technical Notes
kerouax/text-prediction-R
Text Prediction app using N-Gram models, developed with R & shiny
kerouax/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
kerouax/youtube-dl
Small command-line program to download videos from YouTube.com and other video sites