Credit Default Prediction using Logistic Regression

Deal Score+6
Deal Score+6

This Video tutorial starts the introduction to the project explaining all its goals and perspective. Further, we’ll discuss the Project Steps and files needed to be imported. Next, we’ll learn about Data Processing EDA along with concepts such as the Splitting Data and Confusion Matrix. In Continuation, we’ll go through the topic Hyper Parameter Tuning and end the video with the concept of Decision Tree, its theory, and code explanation.

Along with the Predictive Analytics Training, we’ll get used to many new skills and techniques which help in improving your knowledge base and add weight to your CV. Going along the course you will get to taste many of the mathematical and Physics formulas which are used to define many scientific events such as Linear Regression, etc. Further, we’ll get to know more about data mining, text analytics, and predictive modeling, learn more about terms such as Risk assessment and Fraud detection, and also we’ll get to know the data cycle defined in stages as data preprocessing, data preparation, model evaluation, and deployment. Programming skills, as well as Analytic skills, are also attained while going through the curriculum of the course. Hence, this Predictive Analytics Course gives you full exposure to the world of predictive analytics and help you step into its world.


Author : Exam Turf

Ratings : 0.0 / 5.0

Students : 6,346 students

https://www.udemy.com/credit-default-prediction-using-logistic-regression-examturf/?couponCode=EXAMTURF3

Category : Development, Data Science, Logistic Regression

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