boosting-algorithms | Topic | Ecosyste.ms: Repos

Topic: "boosting-algorithms"

kk7nc/Text_Classification

Text Classification Algorithms: A Survey

Language: Python - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1,811 - Forks: 544

ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Language: Jupyter Notebook - Size: 617 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 454 - Forks: 94

a-martyn/ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Language: Jupyter Notebook - Size: 64.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 286 - Forks: 114

dev-takhi77/Solana_Raydium_Volume_Bot

🌟Solana Raydium Volume Bot: Boosting volume & ranking of the pool, 🎯 Solana Volume Bot, Raydium Volume Bot, Pumpfun Volume Bot

Language: TypeScript - Size: 54.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 234 - Forks: 63

LinearBoost/linearboost-classifier

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

Language: Python - Size: 465 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 192 - Forks: 18

arogozhnikov/hep_ml

Machine Learning for High Energy Physics.

Language: Jupyter Notebook - Size: 93.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 187 - Forks: 66

qiyiping/gbdt

Language: C++ - Size: 597 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 94 - Forks: 70

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Language: HTML - Size: 10.7 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 75 - Forks: 25

sharmaroshan/Drugs-Recommendation-using-Reviews

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 60 - Forks: 31

ngchc/deepBoosting

Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence

Language: Python - Size: 915 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 53 - Forks: 13

egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 48 - Forks: 14

nuanio/xgboost-node

Run XGBoost model and make predictions in Node.js

Language: Cuda - Size: 1.54 MB - Last synced at: 8 days ago - Pushed at: over 7 years ago - Stars: 42 - Forks: 9

Puneet2000/In-Depth-ML

In depth machine learning resources

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 38 - Forks: 16

yubin-park/bonsai-dt

Programmable Decision Tree Framework

Language: Python - Size: 3.81 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 34 - Forks: 6

bourbaki/catboost-go

Catboost Go Wrapper

Language: Go - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 29 - Forks: 16

boost-R/gamboostLSS

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

Language: R - Size: 6.92 MB - Last synced at: 4 days ago - Pushed at: 4 months ago - Stars: 26 - Forks: 12

kyosek/NGBoost-experiments

Play around with NGBoost and compare with LightGBM and XGBoost

Language: Python - Size: 327 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 20 - Forks: 8

boost-R/FDboost

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Language: R - Size: 9.36 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 19 - Forks: 7

dmarcous/CRAN_deepboost

Deepboost R-package for submission

Language: C++ - Size: 3.61 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 19 - Forks: 4

Sardhendu/Data-Science-Projects

{PySpark, R, Python}: Several Data Science projects

Language: Jupyter Notebook - Size: 103 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 8

hbldh/skboost

MILBoost and other boosting algorithms, compatible with scikit-learn

Language: Python - Size: 1.37 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 12

zpysky1125/Ensembling

Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting

Language: Python - Size: 85.9 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 4

MoinDalvs/Gradient_Boosting_Algorithms_From_Scratch

4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 0

xiaodaigh/JLBoostMLJ.jl 📦

MLJ.jl interface for JLBoost.jl

Language: Julia - Size: 51.8 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0

piyushghai/Social-Influencers

The repository for CSE 5523 Course Project.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 9 - Forks: 3

kafisatz/DecisionTrees.jl

Julia Decision Tree Algorithms for Regression

Language: Julia - Size: 80.2 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

ChaitanyaC22/Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

Language: HTML - Size: 2.05 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

thierrygosselin/grur

grur: an R package tailored for RADseq data imputations

Language: R - Size: 7.46 MB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

simondelarue/Data-Challenge_Anomaly-Detection

Machine Learning approaches to perform anomaly detection on industrial data.

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: 12 months ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 1

imrahulr/Lord-of-the-Machines

Machine Learning for Email Marketing Campaigns

Language: Jupyter Notebook - Size: 411 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 0

Gurudev333/Loan_Prediction_by_ensemble_machine_learning_techniques

Used ensemble methods such as boosting, voting, Bagging

Language: Jupyter Notebook - Size: 169 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1

skoc/bcpm-pfda-challenge

My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

Language: R - Size: 170 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

djzdjzdl/Data_Based_Security

Data based security code for malware detection using various of boost algorithm

Language: Python - Size: 15.1 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

tisonet/elasticsearch-termrecencyboosting-plugin

Elasticsearch custom similarity plugin to calculate score based on TF * IDF and term recency. Plugin causes that terms with more recent timestamp have higher score.

Language: Java - Size: 92.8 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 0

woov2/LG_Aimers_5th

[해커톤] LG 전자 디스플레이 제조 공정 이상 탐지 AI 모델 개발

Language: Jupyter Notebook - Size: 4.19 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

Juwono136/predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

sylvaincom/high-dimensional-statistics

[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

agrawal-priyank/machine-learning-classification

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

Language: Jupyter Notebook - Size: 71.2 MB - Last synced at: 23 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 5

CraigKelly/goboost

Boosting Algorithms in Go

Language: Shell - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 3 - Forks: 0

ryan-wolbeck/ngboost-tuner

A CLI Tuner of NGBoost

Language: Python - Size: 69.3 KB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Saeedanbarimoghadam/Breast-Cancer-Detection-Using-Machine-Learning-Algorithms

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

SarangGami/TED-Talks-Views-Prediction-Supervised-learning

This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

abhinav4201/Regression-Bike-Sharing-Demand-Prediction

This project help in stabilizing bike demand for every hour

Language: Jupyter Notebook - Size: 65.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

HarshiniAiyyer/Gradient-Boosting-for-Cryptomarkets

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

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

AdiShirsath/Machine_learning_projects

Projects on Classification and Regression

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

ramjan-raeen/MachineLearningProject

Machine-Learning with Python and R programming

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

hussainkanafani/cost-sensitive-boosting

Source code to reproduce the results of the cost-sensitive boosting for classification of imbalanced data

Language: Python - Size: 23.6 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Aysenuryilmazz/hr_analytics_ML

ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

ekagra-ranjan/Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

RachanaJayaram/House-Votes-Classifier

Implementing a naive bayes classifier from scratch with k-fold validation and randomized boosting to classify house votes data .

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

ShalyginaA/badacost-data-mining-seminar

Implementation of BAdaCost - multi-class cost-sensitive boosting algorithm

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

saromanov/boosting

Implementation of boosting algorithms

Language: Python - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

simbrant/IplBoost

Repository containing code for a package that implements a boosting algorithm for sliding landmark models.

Language: R - Size: 2.02 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

Ayush9719/Quora-Question-Pair

A Comparative analysis of machine learning models on Quora Question Pair dataset

Language: Python - Size: 6.84 KB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2

yoihxn/MNIST-Digit-Classification-using-XGBoost

Using XGBoost on MNIST to classify Handwritten Digits

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

atecon/fsboost

Forward stagewise sparse regression estimation implemented for gretl.

Language: Makefile - Size: 9.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Trupti2011/FlightPrice-Prediction

Flight Price Prediction using Advance Machine learning

Language: Jupyter Notebook - Size: 819 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

eeshwarib23/Airbnb-regression-analysis

Size: 4.27 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Harsha-Vardhan-Tangudu/MACHINE-LEARNING-INTRUSION-DETECTION-SYSTEM

ML project based on intrusion detection system trained dataset

Language: Jupyter Notebook - Size: 41.7 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Priya-cse/Zindi-New-User-Engagement

New User Engagement

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Abhijeet-Pitumbur/Xray-Xplorer

Xray Xplorer · CNN, XGBoost & Grad-CAM · COVID-19 Detection in Chest X-Ray Images Using Explainable Boosting Algorithms · Flask Web Application · Python, TensorFlow, Keras

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

DhruvSrikanth/Boosting-Theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

Size: 638 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

rrzta/Machine-Learning---Project-Based

Boosting is one of the methods contained in Ensemble Learning. This technique makes it possible to combine several models into one more robust model.

Language: Jupyter Notebook - Size: 354 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Mertdil/MachineLearning_model_with_Stock_Invesment

Machine Learning Model for Stock Investment

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

pooya-row/ML-Exercises

I develop my personal ML projects here

Language: Jupyter Notebook - Size: 745 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

katsof/probable-sniffle-NLP

Big project: NLP Keyword Extraction and Predictive models (YAKE!, KeyBERT, Naives Bayes, Boosting Gradient)

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

nicoladisabato/online-shoppers-intention

Binary classification with Boosting ensemble algorithm

Size: 278 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

AIML-research/AdaFair Fork of iosifidisvasileios/AdaFair

"AdaFair: Cumulative Fairness Adaptive Boosting" algorithm (CIKM 2019) and its extension to other parity-based fairness notions (@KAIS2022); Repository maintained by Vasileios Iosifidis.

Size: 43.3 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

somjit101/Netflix-Movie-Recommendation

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

Language: Jupyter Notebook - Size: 9.07 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

shivangi-975/Machine_Learning

Machine Learning Concepts and Algorithms.

Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Akai01/MicEcon

Microeconometric analysis of social housing in Austria.

Language: R - Size: 73.2 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

zchuning/BankruptcyDataAnalysis

Using descriminative models to predict bankruptcy.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

macabdul9/flipr-challenge

flipr hackathon challenge

Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

pankush9096/Boosting-Algorithms

XGboost and Gradient Boosting implementation

Language: Jupyter Notebook - Size: 467 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

ApsTomar/house-price-predictor

House price prediction using ensemble methods including AdaBoost, Gradient Boost and XGBoost.

Language: Python - Size: 852 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

anubhavshrimal/SML-Malaria-Detection

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

Language: Jupyter Notebook - Size: 4.46 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 4

niketan108/RF-and-GBDT-using-XGBOOST-on-amazon-food-dataset

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 3 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

abvnithish/Kaggle_HousingPricePrediction

Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

mcarpanelli/Churn-Prediction-Rideshare

Data Science Case Study

Language: Python - Size: 1.42 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 2

Lionzap/ML-From-Scratch

Explore ML-From-Scratch for clear Python implementations of key machine learning models. Understand algorithms without complexity. 🐍🌟

Language: Python - Size: 468 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

AnveshanK/SML-Assignments

From-scratch implementations of PCA, FDA, LDA, QDA for MNIST classification, decision trees, ensemble methods (bagging, random forest), 5-fold cross-validation, AdaBoost, Gradient Boosting, and neural networks for binary classification—using only NumPy, Pandas, and Matplotlib.

Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Adam-maz/Various_Data_Sciences_Assays

Here I am presenting machine learning notebooks, which were used during various analysis, e.g. kaggle competitions: "Titanic - Machine Learning from Disaster", Spaceship Titanic", "House Prices - Advanced Regression Techniques" and "Digit Recognizer") and other assays.

Language: Jupyter Notebook - Size: 923 KB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sadiq18/PredictPodcastListeningTime

Kaggle contest to predict listening time of a podcast episode.

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

FindTo/StartML_Project_ML

Recommendation system for users in social network, which provides 5 relevant posts per user. Uses PostgreSQL tables to retrieve user, posts and history of iteractions. Part of Karpov Courses StartML, link below

Language: Python - Size: 1.36 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

maheshvarade/Tree-Based-Algorithms-on-loan-data

Loan Risk Prediction Implemented RandomForestClassifier, which provided the best results compared to Gradient Boosting.Car Ownership Prediction (Using Same Data) Compared multiple models.House Ownership Prediction Followed the same pipeline for predicting House Ownership.

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

GaneshAhire30/Big_Mart_Sales_Prediction-Project

Big Mart Sales Prediction is a machine learning project that predicts product sales across multiple stores using features like item price, weight, and store type. The model uses regression techniques to help optimize inventory and sales strategies.

Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

eZWALT/ADSDB-DS-EtE-Project

MDS-FIB Algorithms, Data Structures and Databases (ADSDB) Subject 2024-25 Q1, Data-Science End-to-End project path

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

vignesh4005/Crowdfunding_Campaign_Success_Prediction

This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jeus0522/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 964 KB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Yaswanth1702/Sentiment-Analysis-using-Text-Mining-and-Natural-Language-Processing-

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Ammaar-Alam/cos-226

Containing all the coding projects and assignments I've completed in COS 226 @ Princeton (Data Structures & Algorithms)

Language: Java - Size: 202 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1

Alanjamlu34/Analisis-NObeyesdad-dataset

Analisis KNN, Random Forest dan Boosting Algorithm.

Language: Jupyter Notebook - Size: 637 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

rifqimaruf/fp-pm-b

📃This repository contains a data analysis and modelling for final project that explores employee attrition within an company. We analyze multiple method to classify attrition employee.

Language: Jupyter Notebook - Size: 14 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jElhamm/Model-Ensembles-Boosting-In-Machine-Learning

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

Language: Jupyter Notebook - Size: 576 KB - Last synced at: 3 months ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0