Web App and Random Forest - Loan Approval Prediction
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Updated
Oct 19, 2022 - Jupyter Notebook
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loanapproval
Here are 4 public repositories matching this topic...
A sophisticated, modular machine learning framework for automating loan approval processes, integrating Docker, Jenkins CI/CD, AWS-EC2, and FastAPI for robust, scalable financial decision-making.
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Updated
Apr 1, 2024 - Jupyter Notebook
When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.
visualization
exploratory-data-analysis
jupyter-notebook
pandas
python3
classification
logistic-regression
data-preprocessing
hyperparameter-tuning
model-building
random-forest-classifier
svc-model
matplotlib-pyplot
seaborn-plots
plotly-express
xgboost-classifier
loanprediction
classification-metrics
loanapproval
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Updated
Nov 7, 2023 - Jupyter Notebook
Welcome to the Loan Approval Prediction project repository! This project focuses on predicting the approval of loan applications using various machine learning algorithms. By analysing applicant details and financial information, the model aims to assist financial institutions in making data-driven and reliable loan approval decisions.
machine-learning
scikit-learn
pandas
matplotlib
decision-trees
feature-engineering
predictive-modeling
datapreprocessing
modelevaluation
loanapproval
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Updated
Jun 9, 2024 - Jupyter Notebook
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