Yanne0800/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

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mafrs47/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

rohitinu6/NeoLung

Lung Cancer Prediction using Machine Learning Algorithms

Language: Jupyter Notebook - Size: 446 KB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 13 - Forks: 4

Evovest/EvoTrees.jl

Boosted trees in Julia

Language: Julia - Size: 46.7 MB - Last synced at: 8 days ago - Pushed at: 16 days ago - Stars: 182 - Forks: 22

carlpecardal/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

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pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

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sarahloree/Project-6---Stock-Market-News-Sentiment-Analysis-Summarization

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

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opennlp/Large-Scale-Text-Classification

Large Scale benchmarking of state of the art text vectorizers

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ankushmallick1100/Django-Insurance-Premium-Predictor-Web-App

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

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jwgwalton/credit_default_risk

Entries for the Kaggle Home Credit Group credit default competition.

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jazaoo13/WeatherPrediction

This project focuses on predicting the weather for the next day using a classification model. Both RandomForest and GradientBoosting classifiers were tested with grid search for hyperparameter tuning. The dataset used for this project is available at Kaggle.

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jodiambra/Interconnect-Telecom-Churn-Predictions

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

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aryamaansaha/employeeattrition

This repository contains code that was used to predict employee attrition using machine learning methods.

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tezzytezzy/caravan-insurance-policy

Random Forest Classification

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ririraissa/Hotel_Cancelation_Order

When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders using machine learning model.

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luuisotorres/Detectando-Fraudes-de-Cartao-de-Credito-com-Machine-Learning

Utilizando algoritmos de classificação para criar um modelo preditivo que seja capaz de detectar fraudes de cartão de crédito.

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shihabmuhtasim/Machinearning-Model-Weather-Prediction-Rain-Snow-

This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.

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cdalsania/Credit_Card_Fraud_Detection

This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.

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ArefMahjoubfar/fMRI-Classification-based-on-age-and-sex Fork of asdspal/dimRed

a project for CNCS2021

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ndtands/TabularDataProblem

Classification in TabularDataset

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AakashRaina/SalesPredictor 📦

A sales predictor machine learning model.

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alsgkals2/Ensemble_classification

Ensemble_classification

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EmanuelSommer/boosting_methods

[xgboost/ tidymodels/ bookdown] Boosting methods for regression: Theory and application in R

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sarathchandrikak/ML-by-Jovian

Course Work on Machine Learning covering Supervised and Unsupervised Algorithms

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ankit013/Catboost

Implementing Catboost

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WangRongsheng/Classroom-PeopleCount

Classroom-PeopleCounting.

Language: Python - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ShrishailSGajbhar/Coursera-Project

Final project for "How to win a data science competition" Coursera course

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tianyiwangnova/2020_project__Starbucks_Ad_Campaign_Optimization

Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad

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govardhan26/Heart-disease-blog

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

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aviban12/Addicition-Prediction

Language: Python - Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

jbowles/JuML.jl Fork of Statfactory/JuML.jl

Machine Learning in Julia

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majacaci00/2016_boston_marathon

What factors influence runners

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aprilyichenwang/Kaggle_Competition_predicting_homeprice

apply machine learning algorithm, such as regression, tree methods, as well as a series of feature engineering to predict housing price

Language: Python - Size: 8.35 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0