agrawal-priyank / machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Date Created 2017-04-29 (7 years ago)

Commits 41 (last one 6 years ago)

Stargazers 87 (0 this week)

Watchers 3 (0 this week)

Forks 68

License unknown

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RepositoryStats indexes 534,551 repositories, of these agrawal-priyank/machine-learning-regression is ranked #298,579 (44th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,165/14,929.

agrawal-priyank/machine-learning-regression is also tagged with popular topics, for these it's ranked: python (#12,958/20447), machine-learning (#4,757/7371), coursera (#74/118)

Other Information

agrawal-priyank/machine-learning-regression has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

python coursera gradient-descent machine-learning ridge-regression linear-regression multiple-regression polynomial-regression house-price-prediction university-of-washington machine-learning-regression

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updated: 2024-06-27 @ 03:35am, id: 89815517 / R_kgDOBVp53Q