Alternatives and similar repositories for GradientDescentExample

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

• llSourcell / linear_regression_live
  This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
  ☆293Updated 3 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆394Updated 8 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆609Updated 5 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• llSourcell / Classifying_Data_Using_a_Support_Vector_Machine
  This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
  ☆220Updated 6 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆437Updated 4 years ago
• merwan / ml-class
  Machine learning programming exercises
  ☆315Updated 8 years ago
• rieder91 / MachineLearning
  Exercises for the Stanford/Coursera Machine Learning Class
  ☆248Updated 13 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆866Updated 5 years ago
• jessicayung / machine-learning-nd
  Udacity's Machine Learning Nanodegree project files and notes.
  ☆254Updated 9 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆316Updated 8 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆518Updated 8 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆931Updated last year
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆396Updated 6 years ago
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆223Updated 7 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆267Updated 8 years ago
• llSourcell / how_to_do_math_for_deep_learning
  This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube
  ☆121Updated 5 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• savarin / neural-networks
  practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016
  ☆85Updated 2 years ago
• wxs / keras-mnist-tutorial
  For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
  ☆150Updated 6 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆95Updated 12 years ago
• llSourcell / Intro_to_the_Math_of_intelligence
  This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube
  ☆154Updated 6 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• Kulbear / deep-learning-nano-foundation
  Udacity's Deep Learning Nano Foundation program.
  ☆393Updated 8 years ago
• saimadhu-polamuri / DataAspirant_codes
  Complete machine learning model codes
  ☆209Updated 5 months ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆330Updated 2 years ago
• erilyth / DeepLearning-Challenges
  Codes for weekly challenges on Deep Learning by Siraj
  ☆266Updated 2 years ago
• llSourcell / linear_regression_demo
  This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
  ☆192Updated last year