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Apr 10, 2021 - Jupyter Notebook
smote-oversampler
Here are 64 public repositories matching this topic...
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Aug 1, 2022 - Jupyter Notebook
This repository contains the resources and codebase for a research project aimed at predicting breast cancer cases using data from the KNUST hospital.
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Sep 2, 2023 - Jupyter Notebook
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Aug 20, 2022 - Jupyter Notebook
Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV
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Oct 19, 2023 - Jupyter Notebook
Supervised Machine Learning and Credit Risk
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Feb 4, 2023 - Jupyter Notebook
Course Dropout Prediction, Datathon Spring'24
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Apr 2, 2024 - Jupyter Notebook
In this analysis, I will demonstrate how PCA works in different tasks and how much time and resources we save in our daily analysis.
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Dec 20, 2021 - Jupyter Notebook
solution https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud. Xgboost is an efficient method of gradient boosting that makes a random initial prediction then calculates similarity scores and gain to build the trees and decrease the gap between the actual value and the predicted value.Gridsearch was used to get the best parameters tuning.
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Aug 14, 2023 - Jupyter Notebook
using machine learning to assess credit risk
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Oct 24, 2022 - Jupyter Notebook
A Deep Learning analysis to predict success of charity campaigns
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Jul 21, 2023 - Jupyter Notebook
Here is the repository for sharing jupyter notebooks discussed in 'AI-1402' class.
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Nov 19, 2023 - Jupyter Notebook
This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.
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Jul 20, 2024 - Jupyter Notebook
Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appear…
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Jul 24, 2020 - Jupyter Notebook
Data preparation, statistical reasoning and machine learning are used to solve an unbalanced classification problem. Different techniques are employed to train and evaluate models with unbalanced classes.
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May 19, 2021 - Jupyter Notebook
HackerEarth Machine Learning challenge: Of Genomes And Genetics
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Oct 6, 2021
Survival prediction using Four Different kind of algorithms and optimizing the dataset using PCA and SMOTE
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Sep 15, 2023 - Jupyter Notebook
Extract data provided by lending club, and transform it to be useable by predictive models.
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Apr 1, 2021 - Jupyter Notebook
This project is about credit card fraud detection using Random Forest Classifier.
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Mar 9, 2024 - Jupyter Notebook
The objective of this analysis was to use machine learning models to accurately predict credit risk.
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Jun 27, 2021 - Jupyter Notebook
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