Logistic Regression and Linear Regression(Machine learning) in large datasets Suppose that you are the administrator of a university department and you want to determine each applicant's chance of admission based on their results on two exams. You have historical data from previous applicants that you can use as a training set for logistic regression. For each training example, you have the applicant's scores on two exams and the admissions decision. The task is to build a classification model that estimates an applicant's probability of admission based the scores from those two exams. Code has been written in Python using numpy, pandas, matplotlib libraries.
surajdidwania/Logistic-Regression-and-Linear-Regression-Machine-learning-
Logistic Regression and Linear Regression(Machine learning) in large datasets
Python