adaboost-algorithm | Topic | Ecosyste.ms: Repos

Topic: "adaboost-algorithm"

Jack-Cherish/Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Language: Python - Size: 1.08 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 9,611 - Forks: 5,103

Mayurji/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Language: Python - Size: 868 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 122 - Forks: 37

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: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 2

obynio/adaboost

A parallelised facial recognition program written from scratch in C with minimal dependencies

Language: C - Size: 1.24 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

dhrupad17/Machine-Learning-A-Z

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

Language: Jupyter Notebook - Size: 51.9 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

shridhar1504/Price-Prediction-for-Used-Cars-Datascience-Project

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

Language: Jupyter Notebook - Size: 708 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

ndtands/TabularDataProblem

Classification in TabularDataset

Language: Jupyter Notebook - Size: 5.57 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

amindadgar/Machine-Learning

The homeworks related to Machine Learning university course would be saved here.

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Aishwaryakkumar/Automobile

Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

kpratikin/Credit-Card-Fraud

Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 4

garvitjain-02/Machine-Learning-Algorithms

Various machine learning algorithms implemented for practice! Welcome to this Machine Learning Algorithms repository which is a comprehensive guide for anyone looking to understand the inner workings of different ML algorithms.

Language: Jupyter Notebook - Size: 7.69 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Sandeep9975/Adaboost-Algorithm

Adaboost, short for Adaptive Boosting, is a popular and powerful ensemble learning algorithm used in machine learning.

Size: 12.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

pha123661/Decision-Tree-Ensembles-Bagging-and-Boosting

Implements the Decision Tree (CART), AdaBoost and Random Forest algorithm from scratch by only using NumPy.

Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

swapanroy/Predicting-Length-of-Stay-w-Boosting-algorithms

HealthCare Length of Stay predictions with Booster algorithms

Language: Jupyter Notebook - Size: 850 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

krishna-280792shinde/Machine_Learning_Notes

Machine Learning Models

Size: 927 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - 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: about 3 years ago - Stars: 1 - Forks: 1

sanchitsgupta/decision-tree-algorithms

Some decision tree algorithms implemented in C++

Language: C++ - Size: 646 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

tkhan11/Dtreehub

Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.

Language: Python - Size: 468 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

nischaybikramthapa/predicting-hospital-los

Can we predict how long a patient will be in a hospital with a fair comparison on gender, race and health service areas?

Language: Jupyter Notebook - Size: 3.72 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

PeterSchuld/Disaster-Response-Pipeline-

Project No.2 (Data Engineering) in the Data Scientist Nanodegree program. Build a machine learning pipeline to categorize emergency messages based on the need communicated by the sender.

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

RickFSA/Lending_Club_Default_Prediction

Classify default borrowers from initial loan application for Lending Club

Language: Jupyter Notebook - Size: 57.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

philsaurabh/XGBoost-and-Adaboost-Example

A simple example project on XGBoost and Adaboost.

Language: Jupyter Notebook - Size: 254 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

pawneshg/ImageOperations

Image processing algorithms

Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Vishal-sys-code/machine-learning-complete-guide

The Complete Machine Learning Repository

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SravanTummalapalli/Machine_Learning_Cheat_notes

Machine Learning Cheat Notes

Language: Jupyter Notebook - Size: 9.09 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Chenna7893/Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods

The project demonstrates the effectiveness of combining AdaBoost and Majority Voting for credit card fraud detection, providing a reliable and accurate solution to combat fraudulent activities in financial transactions.

Size: 9.13 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

koushik16/Ensemble-Methods-Exploration

Implementations of AdaBoost and Bagging algorithms applied to multiple datasets, comparing performance across various scenarios with different tree depths.

Language: Jupyter Notebook - Size: 264 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AmbreenMahhoor/AdaBoost-Classifier

Language: Jupyter Notebook - Size: 276 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Nia3324/ML_AdaBoost_2223

From scratch Implementation and analysis of the algorithm Adaboost.

Language: Jupyter Notebook - Size: 270 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Toshani/Breast-Cancer-Prediction-Data-Analytics

Final Data Analytics course project repository where we have implemented Breast Cancer tumor classification into malignant and benign thereby predicting the chance of breast cancer.

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Vaishnokmr/Scratch-Code-ML-Algo

Scratch code for a machine learning algorithm involves writing code from scratch to implement the algorithm rather than using pre-built libraries or frameworks.

Language: Jupyter Notebook - Size: 367 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

yousefkotp/MAGIC-Gamma-Telescope-Classification

Classification of Gamma and Hadron events by training classifieres and machine learning algorithms on the MAGIC Gamma Telescope dataset.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ChakradharG/MBTI-Classification

Solution to the (MBTI) Myers-Briggs Personality Type Dataset on Kaggle

Language: Python - Size: 15.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years 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: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SheezaShabbir/Preprocessing-and-Classification-on-Lending-Club-dataset

Lending Club is a lending platform that lends money to people in need at an interest rate based on their credit history and other factors. In this blog, we will analyze this data and pre-process it based on our need and build a machine learning model that can identify a potential defaulter based on his/her history of transactions with Lending Club. This dataset contains 42538 rows and 144 columns. Out of these 144 columns, many columns have null values in majority.

Language: Jupyter Notebook - Size: 948 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

AlessandraFaria/AdaBoosting

Complete BOOSTING Process

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

rupeshsure/Heart_Disease_Prediction_Project

Heart_Disease_Prediction

Language: Jupyter Notebook - Size: 905 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

madhur02/Ensemble_learning_on_Loan_dataset

Ensemble Learning Tutorial

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - 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: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gabriel-solon-padilha/predicao_precoscasas_House_Prices_regression

Sétimo mini projeto de data science em que pude usar diversos modelos de regressão para prever o preço das casas a partir de um conjunto diversificado de features

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

JayDS22/Bank_Customer_Churn_Model

This repository consists of all the files related to Bank Customer Churn Model

Language: Jupyter Notebook - Size: 431 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Shukti042/Logistic-Regression-and-AdaBoost-for-Classification

Logistic Regression and AdaBoost for Classification

Language: Python - Size: 85 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Fintech-Collaboration/vixx-token-dapp

A token is created to invest in long term volatility, which is very profitable in market crisis, but also in bull markets through algorithmic trading using an Adaboost machine learning model and VIXM.

Language: Jupyter Notebook - Size: 78.9 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 3

mervat-khaled/Finding-Donors-for-CharityML

Created AdaBoost Model to predict whether the income is <=50K or >50K of an individual. In order to find potential donors.

Language: Jupyter Notebook - Size: 506 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Abhishek-Nalawade/Face-Recognition

Language: Python - Size: 10.3 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Pradnya1208/Bank-customers-churn-prediction

our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

AhmedKamal75/AI_Lab3

Language: Jupyter Notebook - Size: 785 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

lawrencegoodwyn/LendingClub-Risk-Analysis

This repo contains code that looks into LendingClub's membership data and employs ML to see if the model can predict a user's "credit risk" based on lending.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

jeevankande/Ensemble-Techniques

Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are used.

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