Topic: adaboost-classifier Goto Github
Some thing interesting about adaboost-classifier
Some thing interesting about adaboost-classifier
adaboost-classifier,upGrad's Telecom Churn Case Study hosted on Kaggle platform
User: akashkriplani
Home Page: https://www.kaggle.com/competitions/telecom-churn-case-study-hackathon-c56
adaboost-classifier,Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.
User: albertoparenti
adaboost-classifier,Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
User: alef-s
Home Page: https://eportfolio.mygreatlearning.com/vanessa-florez
adaboost-classifier,Cancer Prediction using Adaboost
User: aman9801
adaboost-classifier,
User: ambreenmahhoor
adaboost-classifier,This project aims to predict breast cancer using machine learning and deep learning techniques.
User: amir-rs
adaboost-classifier,This project aims to predict the occurrence of diabetes using machine learning techniques. The dataset used for this analysis is the "diabetes_prediction_dataset.csv" file, which contains various features related to an individual's health condition.
User: amir-rs
adaboost-classifier,This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )
User: anandanraju
adaboost-classifier,This is about how to make Diabetes Prediction with Machine Learning. We are developing a machine learning model capable of predicting whether someone may have diabetes based on health data and specific parameters. Using the right machine learning algorithms, we will process this data to provide valuable predictions for patients and medical
User: aqilafadia
adaboost-classifier,
User: bharati2301
adaboost-classifier,Classification on Unbalanced Datasets using Boost Techniques (AdaBoost M2, SMOTE Boost, RusBoost,..)
User: celestialtaha
adaboost-classifier,Practicum by Yandex Project 6: This is a Machine Learning project to develop a model that would analyze subscribers' behavior, and build a phone plan recommendation system to recommend the right plan.
User: chuksoo
adaboost-classifier,Breast_Cancer_Prediction using XGBoostClassifier & AdaboostClassifier
User: datasciencevishal
adaboost-classifier,Applied various algorithm models to solve a binary classification problem of predicting if a patient will suffer from a disease. Project done for Machine Learning course of Data Science Ms
User: davidocmartins
adaboost-classifier,Machine learning project done during Monsoon Semester 2023 in IIITD.
User: deepanshudabas03
adaboost-classifier,Minimal implementation of Adaboost classifier using weighted decision stumps without sklearn.
User: gonultasbu
adaboost-classifier,Ensemble model which uses supervised machine learning algorithm to predict whether or not the patients in the dataset have diabetes
User: gouravbarkle
adaboost-classifier,Interconnect seeks to forecast customer churn by analyzing package choices and contracts. If a customer plans to leave, they're offered unique codes and special packages to foster loyalty.
User: gunturwibawa
adaboost-classifier,I applied the bagging and boosting methods using the decision tree as the base predictor on the sklearn’s breast cancer data set. I experiment with different parameters and report the results obtained.
User: hardikasnani
adaboost-classifier,Use scikit-learn and imbalanced-learn machine learning libraries to assess credit card risk.
User: inregards2pluto
adaboost-classifier,All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.
User: jermynyeo
adaboost-classifier,Machine learning series 2.3 on boosted trees
User: jhylin
adaboost-classifier,This project utilized the supervised machine learning model and classifiers to test different trading algorithms.
User: kevinbaross
adaboost-classifier,Assignments from Applied Machine Learning Class (UTD BUAN-6341)
User: krish1919ls
adaboost-classifier,Iris Species Classification usin various ML models.
User: kunal-attri
adaboost-classifier,Predicting the churn in the last month using the data (features) from the first three months and identify customers at high risk of churn and the main indicators of churn.
User: mamta987
adaboost-classifier,Credit Card Clients (CCC) Default Prediction Using various Machine learning Algorithms
User: mark-rozenberg
adaboost-classifier,The project aims to predict the 10-year risk of future coronary heart disease (CHD) for patients in Framingham, Massachusetts. A dataset (3390,16) containing demographic, behavioral, and medical risk factors of patients is used to build a classification model.
User: navneet2409
adaboost-classifier,This project is aimed at predicting the case of customer's default payments. This dataset (30000,25) contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan is used to build a classification model.
User: navneet2409
adaboost-classifier,ML Project implementing decision trees, boosting and svm classification from scratch.
User: neo-panther
adaboost-classifier,The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the datsaset
User: nourhenehanana
adaboost-classifier,Repository for SLC projects
User: pd-07
adaboost-classifier,To analyze the provided cancer.csv data and predict whether or not a patient has breast cancer using ensemble techniques
User: poojap-atil
adaboost-classifier,Classifying different resorts and city hotels on their bookings and cancellation using various Machine Learning Algorithms
User: prateekagr21
adaboost-classifier,This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
User: ruban2205
adaboost-classifier,Fall 2020 - Computational Medicine - course project
User: ryanquinnnelson
adaboost-classifier,This mini-project involves experimenting with a variety of classification and regression models, exploring different techniques to understand their behaviors and applications in predictive analytics.
User: sean-atkinson
adaboost-classifier,Face detection (class and pose) using various Classifiers - Own Implementation
User: siddharthtelang
adaboost-classifier,This is the source code for the end project of Statistical Methods in AI, 5th Semester, IIITH, '22. The project involves implementation of a research paper. The research paper is the Paper of Viola Jones Algorithm
User: siddikayyappa
adaboost-classifier,A ML application(deployed on flask) to detect heart disease in patients based on medical features.
User: simrans22
adaboost-classifier,Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
User: snigdho8869
adaboost-classifier,Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.
User: snigdho8869
adaboost-classifier,Text classification of messages collected during and after a natural disaster. Deploy a Flask app on Heroku .
User: solanao
adaboost-classifier,I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.
User: tboudart
adaboost-classifier,Machine learning binary classification algorithms for classifying mails as spam or ham.
User: themelinakz
adaboost-classifier,Advanced Machine Learning
User: vicaaa12
adaboost-classifier,This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.
User: virchan
adaboost-classifier,Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.
User: wamuza1
adaboost-classifier,Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
User: yogeshwaran-shanmuganathan
adaboost-classifier,Twitter Sentiment Analisys, comparing different models
User: zauverer
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