Alternatives and similar repositories for Deep_learning_specialization

Users that are interested in Deep_learning_specialization are comparing it to the libraries listed below

• joshkyh / amss
  Learn Bayesian Regression on simulated dataset
  ☆10Updated 7 years ago
• business-science / presentations
  A central repository of Business Science presentations
  ☆169Updated 5 years ago
• mtpa / mtpa
  Modeling Techniques in Predictive Analytics with Python and R
  ☆68Updated 10 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆90Updated 2 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆78Updated 3 years ago
• paulintrevado / Exploratory-Data-Analysis-with-R
  MSDS 593
  ☆19Updated 7 years ago
• worldbank / ML-classification-algorithms-poverty
  A comparative assessment of machine learning classification algorithms applied to poverty prediction
  ☆57Updated 7 years ago
• kpei / Customer-Analytics
  Customer Analytics & Financial Valuation for Zakka Canada. This is the associated iPython Notebook code.
  ☆25Updated 9 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• gmaclenn / ml-flashcards-python
  Python script to pull machine learning flashcards from Chris Albon's twitter feed
  ☆81Updated 6 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• AmirAli5 / Machine-Learning
  In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation…
  ☆50Updated 3 years ago
• RishiSankineni / Data-Science-Swag
  My Data Science collection(Books and Articles)
  ☆15Updated 5 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆38Updated 8 years ago
• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆141Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• khanhnamle1994 / statistical-learning
  Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
  ☆266Updated 7 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 9 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• knathanieltucker / deep-learning-building-blocks
  ☆32Updated 3 years ago
• tab114 / Marketing_Mixed_Modelling_Analysis
  Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…
  ☆39Updated 7 years ago
• InseadDataAnalytics / INSEADAnalytics
  ☆123Updated 2 years ago
• fissehab / Andrew_Machine_Learning_R
  This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.
  ☆11Updated 8 years ago
• AnalyticsArtist / BlogFiles
  Wordpress Blog Files
  ☆18Updated 11 years ago
• dataspelunking / MLwR
  Machine Learning with R
  ☆238Updated 2 years ago
• robinsones / Data-Science-Freelancers
  An analysis of 93,000+ data science freelancers
  ☆57Updated 9 years ago