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Kuldii Project

A comprehensive collection of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science projects

Machine Learning (Traditional)

Classification, Regression, Clustering, etc.
House Price Prediction
Predictions of house prices in California using regression models on the California Housing dataset from scikit-learn.
Python Scikit-learn Gradio KMeans Matplotlib Seaborn
Customer Churn Prediction
Predictions of Telco customer churn using classification models on Telco Customer Data from Kaggle.
Python Scikit-learn XGBoost Gradio Pandas NumPy Joblib
Loan Approval Prediction
Predicting loan approval success rates using machine learning classification models on Loan Application Data from the UCI Repository.
Python NumPy Pandas Matplotlib Seaborn Scikit-learn XGBoost Gradio UCI ML Repo
Disease Classification
Classifying diseases based on symptom inputs using machine learning classification models on the Disease Symptom Description Dataset from Kaggle.
Python NumPy Pandas Matplotlib Seaborn Scikit-learn Gradio Kaggle
Iris Flower Classification
Predicting the species of iris flowers using classification models on the Iris Dataset from scikit-learn.
Python Scikit-learn Matplotlib Seaborn Streamlit NumPy Joblib
Fraud Detection
Detecting fraudulent financial transactions using classification models on the PaySim Financial Transaction Simulator dataset from Kaggle.
Python Scikit-learn XGBoost Streamlit Pandas NumPy Joblib Kaggle
Student Score Prediction
Predicting student performance in Math, Reading, and Writing using multi output regression models trained on the Student Performance Dataset from Kaggle.
Python Scikit-learn NumPy Pandas Joblib Streamlit OneHotEncoder StandardScaler