Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
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Updated
Jun 15, 2022 - Jupyter Notebook
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of KNN and SVM Classification models to perform classification on the iris dataset.
Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.
A Facial Recognition System using Python, OpenCV, Dlib. This project includes data preprocessing, face detection, feature extraction, and model training. Explore the LFW dataset, train a Support Vector Classifier, and implement real-time face recognition. Comprehensive notebooks and scripts guide each step.
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