adaboostclassifier

Athiban-32/twitter-sentiment-analysis

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

a3X3k/Spam-Email-Detection

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

brian-kipkoech-tanui/binaryclassification

Classification

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.

luuisotorres/Credit-Card-Fraud-Detection

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

KarthikMurugadoss1804/Prediction-of-customer-churn

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

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.

vinamrata-git/Chess-winner-prediction

Predict the winning probability of white player in a chess game on the basis of first move of white player and first move of black player. In the dataset all the set of moves are given but I choose to predict the white winner the first move

Aashishh1/Project-Compozent

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

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.

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.

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!

rajeski/People_Analytics

Human Resources Employee Turnover Analysis

Sayansurya/Project-on-Class-Imbalance-Problem

SolomonAmaning/Telecom-Churn-Prediction

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

ahmetbeylihan/Sentiment-Analysis-Exchange-Rates

Estimating the growth or depreciation on exchange rates by using sentiment analysis method from social media comments

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.

AlaaMahmoud95/Heart-Failure-Prediction

Classification Machine Learning project

anaungurean/Spam-Email-Classification

Machine Learning - Practical assignment

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

Web Server Log Analysis

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

dinesh-m/machine_learning_bot

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

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.

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.

EslamAsHhraf/Neural-Network-Labs

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

EstevesX10/ML1-AdaBoost-Analysis-Optimization

AdaBoost Analysis and Optimization [Machine Learning I Course Project]

fezzibasma/Machine-Learning-Topics

Here you can explore different projects around Machine Learning Algorithms, Enjoy ☺️

Harmanveer2546/Diabities-Prediction

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

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.

maryamsoftdev/All-About-Ensemble-Learning-

learning python day 14

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

learning python day 15

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.

msumalague/ThyroCare-Supervised-Machine-Learning-Model

Supervised Machine Learning Model for Thyroid Disease Classification

Rupsvarshney/heart-disease-prediction

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