With an accuracy score of 82.7 percent, logistic regression outperforms all other methods on validation data.
Predicting loan defaulters is an important banking practise since it has a direct impact on profitability. However, the loan default data sets provided are extremely skewed, resulting in poor algorithm performance.
This allows us to identify common characteristics and patterns of behaviour that lead to future debt repayment difficulty. For each client, our solution will determine the likelihood of future default.
Learner's Ratings
4.4
Overall Rating
70%
11%
11%
5%
3%
Reviews
R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
V
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.
S
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
N
Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
Share a personalized message with your friends.