accuracy-score

indrapaul824/Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

fischlerben/Machine-Learning-Credit-Risk

Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.

labrijisaad/Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

UmarRajpoot/Identify-Spam-Email-ML-Model

This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.

FaezehAbedi2023/Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

Manaliagarwal/Student-Alcohol-Consumption-Detection-

With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.

JaanviG/Prediction-using-Decision-Tree-Algorithm

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

shubhambhatia2103/Twitter-Sentiment-Analysis

This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.

Subhajeet-Das/Netfilix-Stock-Price-prediction

Here we are trying to predict the closing price of the particular Netflix stock on a given trading day.

Tanwar-12/No-Churn-Telecom

This project focuses on predicting customer churn in the telecom industry using machine learning techniques. The model is trained to identify factors that influence customer retention and accurately predict whether a customer is likely to stay or leave.

e-paj/Machine-Learning-Projects-in-Python

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

kk289/Stock_Price_Prediction

Stock Price Prediction of APPLE Using Python

Masihsoniya/House-price-prediction

Predicting house price

Mathurshab2210/Ml_with_Mathur

Here are some fun projects to learn ML using Handson approach

SiMewL8/credit_risk_ml

Predicting credit risk with machine learning algorithms and help financial institutions detect anomalies, reduce risk cases, monitor portfolios with statistical functions.

aarryasutar/Logistic_Regression_on_Age_Prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

anapysasi/ML_final_project

In this project, we aim to identify different fruits: apples, bananas, oranges, and tomatoes; through different Machine Learning algorithms: CNN, XGBoost, InceptionV3 transfer learning, and VGG16 transfer learning

Bramitha-gowda-M/DiabetesPrediction_SVMModel

Crafted a machine learning model employing Support Vector Machine (SVM) algorithm to anticipate diabetes patterns using the diabetic prediction dataset. Dive into predictive analytics with this insightful project! 📊🔍

dominicarrojado/mouse-accuracy-game

Whack-a-mole mini-game where you whack viruses instead of moles.

gopiashokan/Diabetes-Prediction-using-Machine-Learning

Experience predictive healthcare with our Streamlit app. Utilizing Random Forest, our tool analyzes medical data to assess diabetes risk swiftly. Ideal for healthcare professionals and researchers, this user-friendly app simplifies risk evaluation. Join us in the fight against diabetes.

iamkirankumaryadav/Improvement

Improving a Machine Learning Model

indrapaul824/Sem-3-Project-TMDb-Movie-Analysis-and-Modeling

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

keyoumao/Credit_Risk

Supervised Machine Learning and Credit Risk

mariyamsoffice/movie-recommender

It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies. I have solved a machine learning classification problem and evaluated the model's performance using confusion matrix, accuracy score, recall score, precision and f1 score.

marlevek/telecom-churn

3 modelos de classificação para analisar churn de um empresa de telecom e ao final responder a pergunta: Qual modelo teve o melhor desempenho?

maryamsoftdev/Machine-Learning_AUC-ROC_Curve

learning python day 6

maryamsoftdev/MachineLearning_ConfusionMatrix

Learning python day 4

muhammad3245571106/Student-Grade-Prediction

This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.

PoojanDoshi11/Speech_Detection

🗣️ Speech Type Detection is a Flask app to classifies text into categories like "Hate Speech," "Offensive Language," or "No Hate or Offensive Language" with 87.3% accuracy. It offers a user-friendly interface for text input and prediction, using machine learning algorithms. Idea for managing online inappropriate language. 🌐🔍.

sbmagar13/Covid-19_Prediction

Covid-19 prediction (For Nepal) with different MODELS (Sigmoidal, Linear Regressor, Random Forest Regressor) and comparisons

Simran2911/Flight-Price-Pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

SumanKOLKATA/Prediction-with-Binomial-LOgistic-Regression

👨‍💻👨‍💻 Bank deposit prediction model by Binomial Logistic Regression

lmizner/codecademy_income_logistic_regression

MassimilianoVisintainer/Email-Spam-Model

The Email Spam Model project aims to build a machine learning model that can classify emails as spam or not spam (ham). The project uses various text processing techniques and machine learning algorithms to achieve accurate predictions.

Vibhore-sagar/credit_card_fraud_Detection

Machine learning model for Credit Card Fraud Detection