Logistic Regression Final Year Projects with Source Code
Logistic Regression Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Logistic Regression projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Logistic Regression Final Year Projects
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A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
This project focuses on detecting Autism Spectrum Disorder (ASD) early using machine learning. It compares different ways of preparing data and several simple machine learning methods to see which works best. The study tests these methods on datasets for toddlers, children, adolescents, and adults. The results show high accuracy and identify the most important factors for predicting ASD, helping doctors make better decisions. -
A Machine Learning-Sentiment Analysis on Monkeypox Outbreak An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets
This project studies public reactions to the recent monkeypox outbreak by analyzing social media posts. Researchers collected over 500,000 tweets and labeled them as positive, negative, or neutral. They tested many machine learning models to find the best way to predict public sentiment. The study found that a model using TextBlob, lemmatization, CountVectorizer, and SVM gave the most accurate results, helping health authorities understand public concerns. -
A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection
This project focuses on detecting harmful content on social media. It uses machine learning methods to classify online messages as hateful or not. The study tests two models on multiple datasets and improves their accuracy using nature-inspired optimization techniques and fuzzy logic. This approach helps the system better understand the meaning behind the text.
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Logistic Regression Project Synopsis & Presentation
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Logistic Regression Project Thesis Writing
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