Loan Eligibility Prediction using Gradient Boosting Classifier
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I am an agricultural economics and my key objectives and goals are to learn and do a project that will enable my country overcome food insecurity matter. This is possible and it's the best way to give back to my society for the quality education that I have acquired and that I am still pursuing. I want to learn, get knowledge and team to work magic on the food insecurity and promoting agricultural activities that are safe and secure to everyone. Making sure food is available to all at the right time with high quality, also improvement of farming techniques to farmers.
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Course
Online
*Indicative price
Original amount in USD:
$ 876
Start learning with Project Pro!
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Type
Course
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Methodology
Online
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Duration
1 Year
Emagister presents Loan Eligibility Prediction using Gradient Boosting Classifier, a course by Project Pro.
In this ML problem, we will building a classification model as we have to predict if an applicant should get a loan or not. We will look at various factors of the applicant like credit score, past history and from those we will try to predict the loan granting status. We will also cleanse the data and fill in the missing values so that our ML model performs as expected. Thus we will be giving out a probability score along with Loan Granted or Loan Refused output from the model.
Get in touch with us and find out more.
Facilities
Location
Start date
Start date
About this course
Software developers who want to learn & get a practical experience in Machine Learning & Big Data
Laptop / Desktop + Internet
This project solves a real business problem end-to-end and comes with solution code, explanation videos, cloud lab and tech support.
Reviews
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I am an agricultural economics and my key objectives and goals are to learn and do a project that will enable my country overcome food insecurity matter. This is possible and it's the best way to give back to my society for the quality education that I have acquired and that I am still pursuing. I want to learn, get knowledge and team to work magic on the food insecurity and promoting agricultural activities that are safe and secure to everyone. Making sure food is available to all at the right time with high quality, also improvement of farming techniques to farmers.
← | →
Course rating
Recommended
Centre rating
Linus Kipsang
Subjects
- Business Process
- Management
- Data analysis1
1 students say they acquired this skill
- Engineering Skills
- Database Management
Course programme
- Understanding the problem statement and business intent
- Understanding different libraries and their respective uses
- In depth exploratory data analysis of each feature & Feature engineering
- Data Cleansing and Preparation
- Creating custom functions for Machine Learning Models
- In depth explanation of data imputation and filling missing values
- Defining an approach to solve ML Classification problems
- Data preparation for the Machine Learning models
- Training and testing the model using Cross Validation
- Building statistical models like Gradient Boosting, XGBoost etc
- Selecting the best model based on different metrics
- Understanding metrics like ROC Curve, MCC scorer etc
- Creating pickle files for model reusability
- Data Balancing using SMOTE
- Scheduling ML jobs for automation
Loan Eligibility Prediction using Gradient Boosting Classifier
*Indicative price
Original amount in USD:
$ 876
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