🎓 Quais são os atributos determinantes no abandono estudantil? Isso é o que esse projeto visa descobrir 😎!
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Updated
Jun 15, 2024 - Jupyter Notebook
🎓 Quais são os atributos determinantes no abandono estudantil? Isso é o que esse projeto visa descobrir 😎!
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
Classifying which released prisoners in Iowa will return to a life of crime using Next-Gen Gradient Boosted Trees
Comparison of XGBoost, CatBoost, and LGBM for Parkinsons Classification
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance
Malicious URL detector built with deep exploration on feature engineering.
Data and code for a machine learning exercise in which I predict the development of depression.
Churn Prediction Web Application for streamlit
Prediction possible strokes using RandomForest and PCA
Analyze the data and come up with a predictive model to determine if a customer will leave the credit card services or not and the reason behind it
Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business
The project provides information about breast cancer to help doctors predict if a person has it.
in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost
Using Machine Learning Classification Algorithms, Predicting the Customer will default or not..
Scoring model for financial company - all files
Classification project - dealing with imbalanced dataset
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
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