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Topic: "adaptive-boosting-algorithm"

haroldeustaquio/Machine-Learning-Projects

This repository contains Machine Learning mini-projects focused on different predictive models, from linear regression to more advanced techniques. It also includes more comprehensive end-to-end projects covering the entire ML workflow, from data preparation to model deployment.

Language: Jupyter Notebook - Size: 94.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 0

hkalager/ML_AccountingFraud

This repository includes the scripts to replicate the results of my WORKING paper entitled "A Machine Learning Approach to Detect Accounting Frauds". You can access a copy of the manuscript at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4117764

Language: Python - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

RamishFatimaa/Bank-Term-Deposit-Predictions

Predicting bank term deposit subscriptions using Gradient Boosting, feature importance analysis, and customer segmentation for targeted marketing.

Language: Python - Size: 2.13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

pngo1997/Astrophysical-Objects-Classification

Project applies machine learning techniques to classify astrophysical objects using observational data from the Large Synoptic Survey Telescope (LSST).

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Manisha2612/Solar-Radiation-Prediction

Predict the level of solar radiation based on dataset given from NASA

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 2

meAnubhav/Kidney-Disease-Prediction-Model

A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

cglamb/Voting_Ensemble_Spam

Applies Machine Learning approach to predict spam.

Language: Jupyter Notebook - Size: 944 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Maoelan/co2-emission-prediction

Dicoding Submission Machine Learning Terapan

Language: Jupyter Notebook - Size: 807 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

RohithAthalury/Forecasting-and-Analysis-of-Cyber-Crimes

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

Language: Python - Size: 5.72 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Mikeyb53/Modeling-Property-Values-in-Cook-County-IL

U of Chicago Master-Track Final Project

Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ArmandoGaGo/Bullet-Train-Hackathon

The goal of the Hackathon is to predict whether a passenger was satisfied or not considering his/her overall experience of traveling on the Shinkansen Bullet Train.

Language: Jupyter Notebook - Size: 743 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

saikulkarni10/failure-prediction

Application for Prediction of Acute Liver Failure using Machine Learning Algorithm.

Language: TypeScript - Size: 7.4 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

chetandudhane/ml-modelling-text-analytics

This project uses ML Classification models to predict Election Exit Polls and Text Mining with NLTK to analyse US Presidents' Speeches

Language: Jupyter Notebook - Size: 9.45 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shanujshekhar/ML_Algorithms_from_scratch_python

Implementation of Machine Learning Algorithms in python from scratch

Language: Python - Size: 174 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

rmodi6/adaboost

Adaptive Boosting of Weak Learners implemented in Python

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

phogya/LanguageDecisionTree

Language: Java - Size: 84 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 9 random-forest 6 python 5 gradient-boosting 5 random-forest-classifier 3 naive-bayes-classifier 3 support-vector-machines 2 boosting-algorithms 2 gradient-boosting-classifier 2 decision-tree-classifier 2 logistic-regression 2 feature-engineering 2 nlp-machine-learning 2 xgboost-algorithm 2 xgboost-regression 2 xgboost-classifier 2 machine-learning-algorithms 2 decision-trees 2 random-forest-regression 2 knearest-neighbor-classifier 1 nltk-python 1 text-mining 1 classification-models 1 java 1 ensemble-learning 1 data-preprocessing 1 data-collection 1 comparative-analysis 1 bagging 1 radiation-level 1 predictive-analytics 1 submission-dicoding 1 regression 1 prediction 1 voting-ensemble 1 spam-filtering 1 ltsm-model 1 extremely-randomized-trees 1 extreme-gradient-boosting 1 cnn-model 1 bert-model 1 python3 1 knn 1 kidney-disease-prediction 1 data-visualization 1 time-series 1 tensorflow 1 supervised-learning 1 scikit-learn 1 neural-network 1 keras 1 down-sampling 1 classification 1 python38 1 empirical-risk-minimization 1 cross-validation 1 adaboost 1 modeling 1 perceptron-learning-algorithm 1 knn-classifier 1 kmeans-clustering 1 customer-segmentation 1 variance-inflation-factor 1 stochastic-gradient-descent 1 stochastic 1 sensitivity-analysis 1 multilayer-perceptron 1 financial-kernel 1 dataset 1 accounting-fraud 1 voting-classifier 1 research-project 1 predictive-analysis 1 prediction-algorithm 1 liver-disease 1 knn-classification 1 database 1 classification-model 1 linear-regression 1 k-nearest-neighbours-regressor 1 jupyter-notebook 1 google-colaboratory 1 dicoding-submission 1 decison-tree-regressor 1 xgboost-models 1 tree-classification 1 regression-models 1 ramdom-forest 1 end-to-end 1 boostrap-aggregating 1 xgboost 1 hyperparameter-tuning 1 exploratory-data-analysis 1 catboost 1 machinelearning-python 1 svm-classifier 1 scratch-implementation 1 python-3 1