machine-learning-udacity

There are 2 repositories under machine-learning-udacity topic.

• piyush2896 / CustomerSegments

  This repository contains code for my Machine Learning Basic Nanodegree Project.

  clusteringcustomer-segmentationmachine-learningmachine-learning-udacitynanodegreeprincipal-component-analysisvisualization
  Language:HTML 1

• sid321axn / boston_housing

  In this project, we will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts.

  machine-learningmachine-learning-algorithmsmachine-learning-udacityregression-modelsregression-algorithms
  Language:HTML 1

• wlodpawlowski / machine-learning-udacity

  My mini-projects for practical learning machine learning course on the Udacity

  pythonpython-3python-scriptmachine-learningmachine-learning-algorithmsmachine-learning-projectsmachine-learning-librarymachine-learning-udacitymachine-learning-coursemachine-learning-practiceartificial-intelligenceartificial-intelligence-algorithmsartificial-intelligence-modelsai-algorithmdata-sciencedata-science-projectsdata-science-learningclassification-algorithmclassification-modelclassification-algorithims
  Language:Python 1

• Ajeo / aipnd-classifying-dogs

  This is my classification dogs lab from my "Artificial Intelligence With Python" Nano Degree

  machine-learning-udacityartificial-intelligence-udacity
  Language:Python 0

• carlosdanna / customer_segments

  Udacity Unsupervised Learning project

  machine-learningmachine-learning-udacitypythonudacity-nanodegreeunsupervised-learning
  Language:Jupyter Notebook 0

• carlosdanna / smartcab

  Udacity Smartcab project

  machine-learningmachine-learning-udacitypythonreinforcement-learning
  Language:Jupyter Notebook 0

• proneutrino / machine-learning-projects

  machine-learning-algorithmsmachine-learning-udacitysckiit-learntensorflow
  Language:DIGITAL Command Language 0

• nirajsingh0878 / Stroop_Effect_Statistic-Data_Analysis_Project

  In a Stroop task, participants are presented with a list of words, with each word displayed in a color of ink. The participant’s task is to say out loud the color of the ink in which the word is printed. The task has two conditions: a congruent words condition, and an incongruent words condition. In the congruent words condition, the words being displayed are color words whose names match the colors in which they are printed: for example RED, BLUE. In the incongruent words condition, the words displayed are color words whose names do not match the colors in which they are printed: for example PURPLE, ORANGE. In each case, we measure the time it takes to name the ink colors in equally-sized lists. Each participant will go through and record a time from each condition.

  pythonjupyter-notebookstatisticsmachine-learningmachine-learning-udacity
  Language:HTML

• piyush2896 / Test-A-Perceptual-Phenomenon

  Test the phenomenon of Stroop Effect

  stroop-effectt-testhypothesis-testingnanodegree-programsmachine-learning-udacitydescriptive-statistics
  Language:Python

• SaiSujithReddy / Machine-Learning

  Machine Learning

  machine-learningmachine-learning-udacityudacityudacity-nanodegree
  Language:Jupyter Notebook

• sdurgi17 / udacity-machine-learning

  Udacity Machine Learning Projects.

  machine-learning-udacitymachine-learning
  Language:Jupyter Notebook