{"push_id":1028448384,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"1df65d767a57be00a6197417033fe71408a9440b","before":"b00e40a9face003619a8a447167fdf8e4e49bbcb","commits":[{"sha":"1df65d767a57be00a6197417033fe71408a9440b","author":{"email":"3552273a8da3164d82d50b2085fa8472692d3fc0@flipkart.com","name":"vishal.c"},"message":"Following are the things covered till now\nFor Course : Machine Learning and case study approach\n1) Assignment 1 => predicting house prices using linear regression\n2) Assignment 2 => Predicting the product sentiments using logistic regression\n\nFor Course : Machine Learning\n1) Implement Linear Regression by Gradient Descent and Normal Equation method using Octave\n2) Implement Logistic Regresion using Octave.\n3) Implement Regularisation using Octave.","distinct":true,"url":"https://api.github.com/repos/vishal065/coursera-courses/commits/1df65d767a57be00a6197417033fe71408a9440b"}]}