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xgboost-algorithm

Here are 21 public repositories matching this topic...

bnarath / YouTube_Trending

After watching a couple of trending YouTube videos, we asked ourselves, what makes the videos popular !!! and what if we could predict the popularity !!! After all, we want to help the struggling YouTuber/influencer community by providing them with valuable insights on trending. At the same time, predicting popularity would help the advertising …

visualization machine-learning youtube statistics sklearn plotly youtube-api insights seaborn scipy matplotlib google-api xgboost-algorithm trending-videos

Updated Jul 8, 2020
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harsh306 / fake_news_detection_deep_learning

This repository is for Fake News Detection using Deep Learning models

python crawler word2vec wordcloud naive-bayes-classifier classification confusion-matrix fake-news preprocessing frequency-analysis tfidf-matrix xgboost-algorithm lda2vec gru-model

Updated Feb 21, 2018
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devspidr / stroke-prediction-using-ML

A machine learning project to predict stroke risk based on health data. Built using the XGBoost algorithm to achieve better accuracy and performance. Created as part of my learning journey into applying ML in healthcare domains.

machine-learning healthcare xgboost-algorithm ml-prediction stroke-prediction

Updated Jul 17, 2025
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sid321axn / housing_price_prediction_king_county_USA

In this project, I have predicted Housing sales price prices for King County,USA which includes Seattle. It includes homes sold between May 2014 and May 2015. It has 19 house features plus the price and the id columns, along with 21613 observations. In this project I have done the implementation of different Boosting regression machine learning …

data-science machine-learning machine-learning-algorithms regression-models xgboost-algorithm

Updated Dec 5, 2018
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ShubhamPaliwal03 / TrafficTracer

A web application for botnet detection using Machine Learning - XGBoost, from the csv file containing network packet flows, captured using CICFlowMeter Tool.

javascript css python html flask machine-learning packet-analyser webapp network-analysis flask-api botnet-detection xgboost-algorithm cicflowmeter charts-js cybersecurity-tools network-security-tool

Updated May 3, 2025
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devil-cyber / Reddit-Flair-Detection

Indian Reddit channel r/India Flair Classification

python api flask machine-learning algorithms random-forest text-classification dataset prawn nlp-machine-learning flair svm-classifier xgboost-algorithm test-accuracies

Updated Dec 8, 2022
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abhinabamitra / Intrusion-Detection-System

Intrusion Detection System using various Bagging and Boosting Machine Learning Models in order to detect Malicious Incoming Packets

machine-learning dataset ids logistic-regression svm-classifier xgboost-algorithm

Updated Jun 2, 2021
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facf00 / Credit-Card---Churn-Rate

The credit churn data analysis aims to investigate the factors that contribute to customer attrition in a credit card company. The dataset used in this analysis contains information on customer demographics, credit card usage, and other relevant variables.

data-science eda pandas data-visualization python3 churn churn-prediction xgboost-algorithm churn-analysis wragling

Updated Jan 25, 2024
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ChenQi000320 / ICBC-SoftwareDevelopmentCenter-FundsAnalytics

This is the github page for backing up codes and data applied in the 2022 Summer Internship Project, which focus on analyzing characteristics of mutual funds that are most significantly related with fluctuation in sales.

python random-forest mlp financial-analysis xgboost-algorithm

Updated Nov 25, 2022
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akshayratnawat / BoostingAlgorithms

This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

boosting-algorithms boostrap gradient-boosting xgboost-algorithm random-forest-classifier gridsearchcv adaboost-learning shap adaboost-algorithm featureimportances overfitting-reduced randomsearch-cv

Updated Apr 29, 2021
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SirDeMox / deezer_report

DSG17 | International Machine Learning Competition from Deezer | The goal of this challenge was to predict whether the users of the test dataset listened to the first track of Deezer's own music recommendation algorithm proposed them or not.

competition r deezer recommender-system feature-engineering xgboost-algorithm datascience-games

Updated Jul 26, 2017
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Samhita-kolluri / DataUnveiledNYCAirbnb

random-forest logistic-regression decision-trees datamining k-nn xgboost-algorithm

Updated Mar 23, 2025
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Dan-A2 / Diabetes-Analysis

Diabetes Health Indicator Dataset analysis with R

r random-forest logistic-regression svm-classifier xgboost-algorithm

Updated Sep 11, 2024
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PAMPNA / Endocrine-Elegance-Classifying-Thyroid-Disorders-With-Precision

Early identification and treatment of thyroid disorders using predictive modeling. · Implemented Artificial Neural Networks (ANN), Support Vector Classifier(SVC), Random Forest, and XGBoost for risk prediction. · Developed a web application using ML Flask for user-friendly access to predictive models

ann xgboost-algorithm random-forest-classifier svc-model

Updated Mar 17, 2025
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toniesteves / nyc-airbnb-data-analysis

Um projeto “end-to-end” de Machine Learning em dados do Airbnb.

data-science data machine-learning random-forest machine-learning-algorithms airbnb data-visualization lightgbm data-analysis xgboost-algorithm

Updated Dec 8, 2022
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RominaShin / 30Days-of-ML

Kaggle competition submission

python kaggle xgboost-algorithm

Updated Aug 18, 2021
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alvynabranches / Machine_Learning_Workshop

A complete workshop on Machine Learning Algorithms

python machine-learning workshop linear-regression sklearn machine-learning-algorithms xgboost machinelearning workshop-materials polynomial-regression linear-regression-models lasso-regression machine-learning-workshop xgboost-algorithm xgboost-model sklearn-library machinelearning-python sklearn-workshop

Updated Mar 28, 2022
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Tola-adelase / wine-quality

The Prediction and Classification of Wine Quality

visualization data machine-learning dataset logistic-regression alcohol kaggle-dataset knn-classification wine-quality xgboost-algorithm datanalysis svc-model

Updated Mar 31, 2022
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datacrypto-analytics / web-app-datacryptoanalytics

Extension Brave/Chrome browser Web App - DataCrypto Analytics

javascript python chrome-extension machine-learning bitcoin trading pandas-dataframe sklearn ethereum machine-learning-algorithms pandas cryptocurrency xgboost trading-strategies xgboost-algorithm xgboost-model binance binance-exchange brave-extension

Updated Oct 17, 2020
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DiegoVallarino / MSc-and-PhD-studies-in-Survival

In this work I tested if there was an improvement in performance in the use of different survival models.

xgboost-algorithm xgboost-model survival-models survival-prediction coxph-model c-index mtlr

Updated Mar 16, 2023
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