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shradhajain11's Projects

diabetes-prediction-using-ml icon diabetes-prediction-using-ml

This project is using machine learning to predict the likelihood of a person having diabetes. The dataset used in this project is the "diabetes.csv" file, which contains information on various health factors such as glucose levels, blood pressure, BMI, and age, among others. The goal is to use this data to train a machine learning model, specifical

email-spam-detecting-ml-classifier icon email-spam-detecting-ml-classifier

In this paper, we build a spam detector using 4 Machine Learning models and evaluate them with test data using different performance metrics used. The dataset we used was from a shuffled sample of email subjects and bodies containing both spam and ham emails in different proportions, which we converted into lemmas. As per our analysis, Naive Bayes

fraud-detection-by-machine-learning icon fraud-detection-by-machine-learning

# Fraud Detection Model This code reads in a dataset of financial transactions and builds a model to predict whether a given transaction is fraudulent or not. ## Dataset The dataset used in this code is `fraud.csv`. It contains the following columns: - `step`:

machine-learning icon machine-learning

## Project Description This project analyzes the NIFTY 50 companies in India by performing various calculations and creating new columns in the dataframe. The `nifty.csv` file is used as the dataset, which contains information on the companies' industry, market cap, current value, high and low 52-week values, book value, price-earnings ratio, divi

tweet_nft icon tweet_nft

# Analyzing NFT Tweets using Machine Learning This project involves analyzing tweets related to non-fungible tokens (NFTs) using machine learning. The data used in this project is in the "Tweet_NFT.xlsx - Sheet1.csv" file and contains information on various aspects of the tweets, such as the text of the tweet, the date and time it was created, and

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