A Multinomial Naive Bayes model for classifying emails as spam or ham, featuring a Jupyter Notebook for analysis and a Streamlit app for interactive use.

This project showcases iris flower classification using machine learning. It's a beginner-friendly example of data science and classification techniques. Explore the code, Jupyter Notebook, and enhance your data science skills.

This project demonstrates iris flower classification using machine learning. It's an accessible introduction to data science and classification techniques. Explore the code and Jupyter Notebook to enhance your data science skills.

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

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.

Python implementation of naive bayes from scratch and using scikit-learn

👩‍💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.

This notebook involves to build a spam email classifier using Naive bayes and feature extraction technique using countvectorizer

Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.

This project involves detecting breast cancer using the Naive Bayes classifier in Jupyter Notebook. Breast cancer detection is a crucial task in healthcare, as it aids in the early diagnosis and treatment of the disease. Through this project, we aim to explore and understand how the Naive Bayes classifier can be used for breast cancer detection.

Includes multiple notebooks, that covers different aspects of Natural Language Processing

This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.

This repository contains introductory notebooks for Naive bayes algorithm

Notebooks explaining various Machine Learning concepts.

This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.

Notebooks for Global AI Hub ML course in Aug 2022

Coursework project for STINTSY with the task of classifying excerpts according to who authored them. The Jupyter Notebook contains the ML text classification pipeline as well as a comprehensive documentation of the methodology and experiments done to achieve the best results.

Python notebook describing the entire process of developing a prediction model including: Exploratory Data Analysis, Data Preprocessing, and Model Development

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

A list of python notebooks for Machine learning basics- regression and classification.