adaboost-algorithm
There are 79 repositories under adaboost-algorithm topic.
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
nikitaprasad21/ML-Cheat-Codes
Machine Learning Cheatsheet 2024
Mayurji/MLWithPytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
lesleyping/Machine-Learning
Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.
ndtands/TabularDataProblem
Classification in TabularDataset
matheastevens/Ecommerce-Sales-Analysis
Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.
obynio/adaboost
A parallelised facial recognition program written from scratch in C with minimal dependencies
luuisotorres/Credit-Card-Fraud-Detection
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
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.
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.
amindadgar/Machine-Learning
The homeworks related to Machine Learning university course would be saved here.
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
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).
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.
AnasBrital98/Most-Common-Algorithms-of-Machine-learning
In This Repository you can find The Explanation and The Implementation of the Most Famous Machine Learning Algorithms
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.
joshuachan147/Cookies-ML-Sales-Projections
Utilizing machine learning techniques to model and project sales for the cannabis startup Cookies
krishna-280792shinde/Machine_Learning_Notes
Machine Learning Models
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?
pawneshg/ImageOperations
Image processing algorithms
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.
pha123661/Decision-Tree-Ensembles-Bagging-and-Boosting
Implements the Decision Tree (CART), AdaBoost and Random Forest algorithm from scratch using NumPy.
philsaurabh/XGBoost-and-Adaboost-Example
A simple example project on XGBoost and Adaboost.
Pradnya1208/Bank-customers-churn-prediction
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
RickFSA/Lending_Club_Default_Prediction
Classify default borrowers from initial loan application for Lending Club
sanchitsgupta/decision-tree-algorithms
Some decision tree algorithms implemented in C++
stanleyowomero/Employee-Absenteeism
Employee-Absenteeism-Project-Work
sumankumarsubudhi/Diabetes-Case-Study
Machine Learning Model helps to gain an understanding of how to optimize a number of models using grid searching
swapanroy/Predicting-Length-of-Stay-w-Boosting-algorithms
HealthCare Length of Stay predictions with Booster algorithms
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.
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.
uniquevineet/Online_Shoppers_Pattern_Analysis
Analyse the factors which lead to online shopping on a website and building predictive models for it.
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.
MarioMouse826/Machine-Learning
Built 5 ML models to identify customers likely to purchase loans in Makati, Philippines for Real Estate Purposes
SravanTummalapalli/Machine_Learning_Cheat_notes
Machine Learning Cheat Notes