syeda434am/Suicide-Ideation-Detection

This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.

Language: Jupyter Notebook - Size: 4.35 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2 - Forks: 0

MAvRK7/Malware-detection-using-MLmodels

This repo is about the cyber security project where malware is detected and classified

Language: Jupyter Notebook - Size: 986 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

A-lii/ASD-detection-using-Q-CHAT10-and-SRS

Machine Learning Project using textual data - A comparison between SRS and Q-CHAT10 for autism detection.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

kevinwood15/Python_ML_Classification_Modeling

This project uses GaussianNB, Random Forest, and AdaBoost Classification Models to predict the income category of individuals with US Census Data

Language: Jupyter Notebook - Size: 156 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Prakshi-23/Bank-App-management-project-v1-

A Bank App GUI made using Python (libraries used tkinter, customtkinter, pandas etc.) and the data is stored in backend in SQL Database and usind pandas stored in excel file as well. This excel file is further used to create a dashboard in Power BI and also used in machine learning alogorithm.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nikita620/credit-card-fraud-detection-

This project focuses on combining the strengths of AdaBoost and majority voting to create a highly efficient fraud detection model. The goal is to provide a reliable method for detecting fraudulent transactions, ensuring the safety of users' financial data.

Size: 12.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

OriolPalacios/Datacamp-RentalDVDinfo-Project

DVD Rental Prediction leverages regression models to forecast rental duration, guiding optimal inventory management for DVD rental companies. It combines data visualization, feature engineering, and model evaluation within a Jupyter Notebook to deliver actionable insights.

Language: Jupyter Notebook - Size: 300 KB - Last synced at: 27 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ahmedamrelhefnawy/Customer-Segmentation

Customer Segmentation Machine Learning Project

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

paocarvajal1912/VIXM-Algorithmic-Strategy

An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 2

BeheshteSadeghi/ChurnModelling

This project aims to train the best model for predicting customer churn. In this project; first, data is studied and several diagrams are depicted for storytelling. Since we face with unbalanced data, categorical data, outliers, unscaled data and ecxess of features, related packages from python is utilized to prepare data for modelling.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Aashishh1/Project-Compozent

🚀 Predicting diabetes risk in females with AdaBoost Classifier! 💻✨

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

LohiyaH/AI-Based-Fraud-Detection

A comparative analysis of machine learning and deep learning algorithms for fraud detection, featuring XGBClassifier, CatBoostClassifier, and LGBMClassifier, as well as ANN, CNN, RNN, LSTM, and Autoencoders for performance benchmarking

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CyprianFusi/FraudDetectionModel-with-Gretl

With this model: the amount of backlog would be reduced significantly, the amount of staff needed to do the job would be reduced drastically, the processing time would be shortened significantly and more cases of fraudulent transactions would be tracked down in a given amount of data processed - more than 40% increase in efficiency!

Language: Jupyter Notebook - Size: 3.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Rupsvarshney/heart-disease-prediction

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

Language: Jupyter Notebook - Size: 987 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

alef-s/ReneWind_Model_Tuning

The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

EstevesX10/ML1-AdaBoost-Analysis-Optimization

AdaBoost Analysis and Optimization [Machine Learning I Course Project]

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

djdhairya/Crop-Recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

Language: Jupyter Notebook - Size: 817 KB - Last synced at: 20 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

vignesh4005/Crowdfunding_Campaign_Success_Prediction

This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SKJNR/App-s-Review-Sentiment-Analysis

Perform Sentiment Analysis on App's Review Data

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

harmanveer-2546/Sports-Bets-Winning-Algorithm

Sports betting is the activity of predicting sports results and placing a wager on the outcome.

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Candongo-Dev/Machine-Learning_Project-Heart-Disease-Dataset

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

Language: Jupyter Notebook - Size: 403 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

FaezehAbedi2023/Optimizing-Credit-Card-Fraud-Detection-in-Banking-with-Ensemble-Learning-Techniques

This research advances credit card fraud detection by integrating machine learning and deep learning techniques. Key findings include improved model adaptability through hyperparameter tuning.

Language: Jupyter Notebook - Size: 62.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Ehtisham33/Diabetes-Prediction

This project aims to predict whether a person has diabetes or not using key health metrics such as glucose levels and BMI. The project involves data preprocessing, feature selection, model training, evaluation, and prediction using various machine learning algorithms.

Language: Jupyter Notebook - Size: 965 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

anik475/Kaggle-Challenge-Campaign-Contributions-in-the-United-States

This assignment contain information on the contributions to the campaigns of the US politicians at the state and the federal level. The contribution data has been collected from various sources and covers the 1989-2017 period

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MuhamedHekal/Finding_Donors_for_CharityML

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

akarshankapoor7/AdaBoost_tutorial

The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a strong classifier, focusing more on the misclassified instances in each subsequent iteration.

Language: Jupyter Notebook - Size: 491 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SophiaRazzaq/Landslide-Insights-and-Prediction

Machine Learning

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

singhvks/Predict-the-category

ADABOOST - MULTICLASS CLASSIFICATION - MACHINE LEARNING - PYTHON : Predict category of problem solved as part of Piramal Hackathon

Language: Python - Size: 2.93 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

superingram/Heart_disease_prediction

This is a binary classification problem. There are numerous factors that can contribute to the presence of heart disease. What is the most important factor causing heart disease? Can an accurate classifier be built to predict the presence of heart disease in patients? These are the questions we want to answer with this project.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

VinylBr/DeepLearningvsML_TBResistancePrediction

Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

hamzaqureshi5/sentiment140

Sentiment140 dataset with 1.6 million tweets

Language: Jupyter Notebook - Size: 115 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

maryamsoftdev/Sentiment-Analysis-Using-Natural-Language-Processing-NLTK-

learning python day 15

Language: Python - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

damaniayesh/Credit-Card-Approval-Prediction

The project provides the credit card approval predictor using different machine learning algorithm , just like the real banks do.

Language: Jupyter Notebook - Size: 7.36 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

LHarieswar/Email-Spam-Classifier

Spam Email Detection using Machine Learning Classifier Algorithms

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

anaungurean/Spam-Email-Classification

Machine Learning - Practical assignment

Language: Python - Size: 18 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

SatyaA26/Ensemble-Methods

"Heart disease and diabetes prediction accuracy through Bagging and AdaBoost ensemble methods for enhanced predictive performance."

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

injamul3798/Bangla-Newspaper-Categorization-using-ML-models

In my Bangla news categorization project, I utilized XGBoost for efficient pattern recognition, SVM for handling non-linear relationships, and an ensemble of Random Forest, AdaBoost, and Logistic Regression to collectively enhance precision. This diverse approach ensures robust and accurate classification of Bangla news articles.

Language: Jupyter Notebook - Size: 654 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AjNavneet/BusinessLicense_MulticlassClassifier_Ensemble

Ensemble multi-class classifiers on business license status data.

Language: Jupyter Notebook - Size: 7.82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bh-Abhishek-b/Web-Server-Log-Analysis

Web Server Log Analysis

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vaitybharati/Bagging-boosting-stacking

Bagging-boosting-stacking

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

DhanaShravya/Wine-clustering-and-classification-using-ML

Wine Classification using Machine learning algorithms

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

luuisotorres/Credit-Card-Fraud-Detection

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

Language: Jupyter Notebook - Size: 744 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

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.

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

brian-kipkoech-tanui/binaryclassification

Classification

Language: Jupyter Notebook - Size: 895 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Arya920/Desease-prediction

This repository contains code for a machine learning project focused on predicting the likelihood of a person having diabetes. The project includes the implementation of various classification models and an Artificial Neural Network (ANN) for classification.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

chiru30/ECOM-HELP

Recent times the E-commerce websites took a rapid increase in their user stats, this project is a small help for all the people out there to have a confirmation on their delivery date to avoid any issues or problems while receiving the package.

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

akshataupadhye/Predictive-model-using-physicochemical-attributes

A project featuring use of statistical techniques for exploratory data analysis and data mining techniques for predicting the quality of wine. 🍷🍸🍹

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Bharati2301/Comparative-study-of-various-Classification-Algorithms-in-Machine-Learning

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

EslamAsHhraf/Neural-Network-Labs

🤖 My solutions to practice labs in Neural Network labs in Computer engineer department at Cairo University

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

siddharthtelang/Face-and-Pose-Classification

Face detection (class and pose) using various Classifiers - Own Implementation

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Tripathi18/Assignment

This GitHub repository contains a collection of machine learning implementations and evaluations. It includes code for ensemble learning, decision trees, AdaBoost, logistic regression, and K-means clustering. Each section focuses on a specific algorithm or technique and provides code examples for training models, making predictions, and evaluating

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Hk669/Hyperparameter-Optimization

The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.

Language: Jupyter Notebook - Size: 115 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

wittyicon29/Churn-Prediction

Comparison of different learning algorithms with each other using the Customer Churn Dataset from Kaggle

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vidyavarshini17/CROP-PREDICTION-USING-ML

Using the above system, farmers can be guided in the choice of crops to be grown by predicting the suitable ones for a given region by incorporating supervised ML algorithms.

Size: 4.43 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

SolomonAmaning/Telecom-Churn-Prediction

This project was conducted to predict recharge delay using regression techniques and customer churn using classification models

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

abideen-olawuwo/water-potability

A Water Potability Model

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

abideen-olawuwo/loan

A loan prediction modes

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

abideen-olawuwo/titanic-naive-bayes

Titanic Prediction

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

abideen-olawuwo/Stroke-Prediction

A stroke Prediction Model

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

AlaaMahmoud95/Heart-Failure-Prediction

Classification Machine Learning project

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

DickelDia/Credit-Score-Classification

Over the years, the company has collected basic bank details and gathered a lot of credit-related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts.. You are hired as a data scientist to build a machine learning model that can classify the credit score.

Size: 14.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dinesh-m/machine_learning_bot

Machine Learning Bot is a Jupyter Notebook based application prototype to perform algorithmic trading using a Machine Learning algorithm.

Language: Jupyter Notebook - Size: 6.65 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

yasinsametkaraca/breast-cancer-classification

Language: Jupyter Notebook - Size: 4.42 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Athiban-32/twitter-sentiment-analysis

Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

brunocampos01/finding-donors

Data Science project using Census Income dataset. (Kaggle Competition)

Language: Python - Size: 3.91 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

rochitasundar/Customer-profiling-using-ML-EasyVisa

The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.

Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

Sar-thak-3/Salary-prediction-50k

Decision Tree model to predict whether the salary will be >50k or <50k

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jialincheoh/finding-donors

Finding Donors with Machine Learning ( Support Vector Machine, Gradient Boosting Classifier, Random Forest Classifier )

Language: HTML - Size: 171 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Abir0810/Drug_Addiction_prediction_using_machine_learning

We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mosama1994/Diabetes-Detection-using-Machine-Learning

Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.

Language: Python - Size: 8.76 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

geekquad/AdaBoost-from-Scratch

A basic implementation of AdaBoost algorithm from Scratch.

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Sayansurya/Project-on-Class-Imbalance-Problem

Language: Python - Size: 37.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

KhushiSindhu/Telecome-Churn-PCA-And-Multiple-Models

Telecome-Churn-PCA-And-Multiple-Models

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

a3X3k/Spam-Email-Detection

Size: 67.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

prateekagr21/Heart-condition-Analysis

Analyzing the Heart conditions of patients and predicting the Heart Failure using various Machine learning algorithms.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AlessandraFaria/AdaBoosting

Complete BOOSTING Process

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

mmsaki/algorithm_trading

Create an algorithmic trading bot that learns and adapts to new data and evolving markets.

Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 14 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

rajeski/People_Analytics

Human Resources Employee Turnover Analysis

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Abis47/Chronic_Kidney_Disease_Prediction

I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 2

Elliott-dev/Indicators-of-Heart-Disease-Analysis

This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

olumideodetunde/Shopping-Intention-Classification

This notebook outlines the pipelines of 3 models used to classify the shopping intention of online shoppers. Instances of individual pipleines have been generated for this project.

Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gabriel-solon-padilha/predicao_sobrevivencia_classification

Meu 8 miniprojeto em python em que faço o uso de modelos de classificação para predição da sobrevivência ou não no desastre do titanic

Language: Jupyter Notebook - Size: 433 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

KarthikMurugadoss1804/Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

Language: Jupyter Notebook - Size: 939 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ayoubakh/Customer-Churn-Prediction

Language: Jupyter Notebook - Size: 408 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

AliMufeed/Bank_Loan_term_prediction

Classification Project for SDAIA T5 Data Science Bootcamp. This project will choose the best classification model to predict whether a loan is a short-term loan or a long-term loan, based on some features.

Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jose-perth/Credit_Risk_Analysis

Employ different techniques to train and evaluate models with unbalanced classes. Evaluate the performance of these models and make recommendations on their suitability to predict credit risk.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

chuksoo/customer_churn_predictML

Practicum by Yandex Project 7: In this supervised learning project, we are to use customer data and develop a model that would predict whether a customer will leave a bank soon. One of the objective is to build a machine learning model with the maximum possible F1 score of atleast 0.59 or higher.

Language: Jupyter Notebook - Size: 269 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

hebaabdelwhab/MobileStoreApp

Language: Python - Size: 15.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Devvrat53/Cardio-Vascular-Disease

Language: Python - Size: 69 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

vasisthasinghal/Employee-Churn-Prediction

Employee Churn Prediction for a Kaggle Data Contest

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jiya07/Income-prediction-using-boosting-algorithms

Language: Jupyter Notebook - Size: 243 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sharika-anjum/Machine-Learning-algorithms

Algorithms from scratch to know how the algorithms work.

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

avikjis27/Titanic

Kaggle Machine learning problem exercise

Language: HTML - Size: 229 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Mohit-Jawale/Disaster-Respone-pipeline

Language: Python - Size: 3.66 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0