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Intuitively, there must be a relationship between the scores and the hours studied. The more one studies, the better one's test scores should be. The linear regression is used to uncover this relationship.\n\u003cbr/\u003e\n\u003cbr/\u003e\nThere are several numerical optimization techniques amongst which the Gradient Descent method is examined to minimize the cost function of Linear Regression.\n\n## Usage\nRun the jupyter notebook `linear_regression.ipynb`\n\n## Results\n![Results](pred.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaustubholpadkar%2Flinear_regression-gradient_descent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaustubholpadkar%2Flinear_regression-gradient_descent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaustubholpadkar%2Flinear_regression-gradient_descent/lists"}