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 my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.
This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.
Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.
A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy
This notebook shows how the f1 metric differs accuracy on imbalanced data. The heart disease dataset from kaggle is used (https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease).
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