GitHub topics: machine-learning-udacity
wlodpawlowski/machine-learning-udacity
My mini-projects for practical learning machine learning course on the Udacity
Language: Python - Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

proneutrino/machine-learning-projects
Language: DIGITAL Command Language - Size: 14.7 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Ajeo/aipnd-classifying-dogs
This is my classification dogs lab from my "Artificial Intelligence With Python" Nano Degree
Language: Python - Size: 8.64 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

SaiSujithReddy/Machine-Learning
Machine Learning
Language: Jupyter Notebook - Size: 165 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

carlosdanna/customer_segments
Udacity Unsupervised Learning project
Language: Jupyter Notebook - Size: 979 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

piyush2896/CustomerSegments
This repository contains code for my Machine Learning Basic Nanodegree Project.
Language: HTML - Size: 2 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

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.
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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.
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piyush2896/Test-A-Perceptual-Phenomenon
Test the phenomenon of Stroop Effect
Language: Python - Size: 645 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 5

carlosdanna/smartcab
Udacity Smartcab project
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

sdurgi17/udacity-machine-learning
Udacity Machine Learning Projects.
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