kulu80 Goto Github PK

-carnd-lanelines-p1

advanced_lanedetection

allncl-scripts

nclscritpt

bantgit

create for coursera data science course

boston-house_mlnd

The Boston housing market is highly competitive, and you want to be the best real estate agent in the area. To compete with your peers, you decide to leverage a few basic machine learning concepts to assist you and a client with finding the best selling price for their home. Luckily, you’ve come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. Your task is to build an optimal model based on a statistical analysis with the tools available. This model will then be used to estimate the best selling price for your clients' homes.

boston_house_mlnd

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-extended-kalman-filter-project

carnd_behavioral_cloning_p3

choose_your_own

MLND

dand_project1

dand_project3

dand_project5

Enron email Fraud Identification

dand_project5-enrondataset

Enron email dataset for machine learning

dat8

General Assembly's Data Science course in Washington, DC

data-incubator

Answers to challenge questions.

datasciencecoursera

Data Science course in coursera

datasharing

The Leek group guide to data sharing

deeplearing_mlnd

finding_donors

finding_lane_lines_sdcnd

frontend-nanodegree-resume

gettingandcleaningdata

Repository for Coursera course Getting and Cleaning Data.

gettingandcleaningdataproject

This is a repository for Getting And Cleaning Data project

hafs_plot

insightdatascience-challenge

linear-regression-sklearn

Multivariate linear regression with sklearn

mlnd_projects

openflights

Website for storing flight information, rendering paths on a zoomable world map and calculating statistics, with plenty of free airline, airport and route data.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera