The training data set is used to train the machine learning model. Every new applicant's information entered on the application form serves as a test data set. The model will estimate whether a loan will be accepted or not based on the training data sets.
A classification algorithm is Logistic Regression. Given a set of independent variables, it is used to predict a binary outcome (1 / 0, Yes / No, True / False). The estimation of the Logit function is known as logistic regression.
Based on their financial information and previous data, Machine Learning algorithms can forecast which consumers would fail on their loans. For both companies and people, loan lending has played a significant role in their everyday lives.
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R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
M
Mohd Mushraf
5
Amazing Teaching
J
Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
5
Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
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Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
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