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xgboost-classifier

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anudeepvanjavakam1 / Income-Classification-of-people-in-US

a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification

machine-learning r high-dimensional-data naive-bayes-classifier classification data-table svm-classifier smote imbalanced-classification xgboost-classifier income-prediction

Updated Nov 22, 2016
R

IDS-Project

anshuljain21120 / IDS-Project

IV Sem IDS Course project done under Dr. Sakthi Balan Muthiah and Dr. Subrat Kumar Dash

machine-learning feature-engineering decision-tree-classifier svm-classifier classifiers random-forest-classifier xgboost-classifier magic-dataset

Updated May 9, 2020
Jupyter Notebook

xianchen2 / Online_Transaction_Fraud_Detection

Train CatBoost & XGBoost on 59K data to predict the probability that an online transaction is fraudulent

pca hyperopt catboost xgboost-classifier adversarial-validation

Updated Jun 9, 2020
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MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale

Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio

graphviz supervised-learning logistic-regression decision-tree-classifier gradient-boosting-classifier random-forest-classifier ensemble-models bagging-trees lightbgm xgboost-classifier randomizedsearchcv adaboostclassifier

Updated Aug 2, 2020
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MatiasFlores96 / nlp_dissaster_tweet

Trabajo Práctico Final para la materia Organización de Datos 75.06 - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.

data-science machine-learning naive-bayes-classifier classification bag-of-words logistic-regression tf-idf data-cleaning nlp-machine-learning decision-tree-classifier cnn-keras bert svm-classifier glove-embeddings knn-classifier sgd-classifier blstm-neural-networks lstm-keras xgboost-classifier

Updated Aug 14, 2020
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Davidelvis / BankClientTermDeposit_Prediction

Bank Institution Term Deposit Predictive Model

machine-learning random-forest exploratory-data-analysis pca logistic-regression multilayer-perceptron-network imbalanced-learning robust-scaling onehot-encoding xgboost-classifier

Updated Aug 29, 2020
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jiya07 / Income-prediction-using-boosting-algorithms

eda beginner boosting-algorithms gradient-boosting xgboost-classifier adaboostclassifier

Updated Sep 30, 2020
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mandar196 / Hate_Speech_Detection-NLP

Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.

python nlp text-classification hatespeech countvectorizer porter-stemmer xgboost-classifier

Updated Oct 11, 2020
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rtharungowda / cascade-cup-2020

Cascade Cup Data Science Hackathon, Solve a real-world Data Science Challenge by Trell

xgboost age-prediction xgboost-classifier smote-sampling cascade-cup

Updated Dec 15, 2020
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hanaecarrie / CS5228_kaggle_income50K_classification

CS5228 Kaggle Inclass Competition: Predicting if Income > 50K

machinelearning feature-engineering binary-classification hyperparameter-search random-forest-classifier mlp-classifier catboost knn-classifier extra-trees-classifier xgboost-classifier lightgbm-classifier

Updated Jan 31, 2021
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Tanzanian-Waterpoint-Analysis-and-Classifictation

merb92 / Tanzanian-Waterpoint-Analysis-and-Classifictation

Predict the operational status of waterpoints to help the Tanzanian Government provide more clean water to its population using a Machine Learning Classifier

imbalanced-data smote multiclass-classification random-forest-classifier xgboost-classifier water-infrastructure

Updated Feb 11, 2021
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iamkirankumaryadav / Loan

Loan Approval Prediction

python exploratory-data-analysis eda data-visualization hyperparameter-optimization classification dimensionality-reduction logistic-regression confusion-matrix data-preprocessing data-modeling hyperparameter-tuning decision-tree-classifier classification-report data-evaluation random-forest-classifier roc-auc stratified-sampling xgboost-classifier grid-search-cross-validation

Updated Mar 13, 2021
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chrisshaffer / Kaggle-Titanic

My submission for the Titanic Kaggle competition with accuracy in the top 7% of submissions. Accuracy was improved by data cleaning to deal with missing values, feature engineering, one-hot encoding of categorical features, use of the XGB Classifier, and hyperparameter optimization.

python scikit-learn pandas kaggle-titanic data-cleaning xgboost-classifier

Updated Apr 28, 2021
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avinashwaghole / Credit-Card-Fraud-Detection

Detecting fraudulent credit card transactions is essential to avoid customers getting charged for items they did not buy and to save money from banks and financial institutes. Machine learning algorithms are explored to detect frauds in this repository.

fraud-detection xgboost-classifier

Updated May 3, 2021
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czaloumi / fire-risk-analysis

Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.

neural-network risk-analysis satellite-imagery cnn-model fire-detection smoke-detection xgboost-classifier forest-fires fire-images fire-risk

Updated May 4, 2021
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vbabashov / loan-classification

Loan Eligibility - Classification (Python)

classification logistic-regression imbalanced-data random-forest-classifier xgboost-classifier lgbmclassifier

Updated May 7, 2021
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imamitsingh / Social-network-graph-link-prediction

Social network link prediction using graph mining and machine learning

graph-theory cold-start graph-mining feature-importance random-forest-classifier xgboost-classifier f1-scores log-loss-score-metric graph-featurization precison-recall

Updated Jun 2, 2021
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Classification-of-malwares-using-machine-learning-algorithms

imamitsingh / Classification-of-malwares-using-machine-learning-algorithms

Classify malware into families based on file content and characteristics

natural-language-processing random-forest feature-extraction bag-of-words logistic-regression t-sne feature-engineering linear-models knn-classifier ensemble-models malware-classification xgboost-classifier pixel-intensity log-loss-score-metric

Updated Jun 2, 2021
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SauravTelge / SpamEmailClassification

Coded a simple spam email classification model for ML subject in college.

svm naive-bayes-classifier hyperparameter-tuning decision-tree-classifier random-forest-classifier colab-notebook xgboost-classifier

Updated Jun 4, 2021
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RFJkrak3n / HR-Analytics-Job-Change-of-Data-Scientists

To understand the factors that lead to attrition with the goal of building a model that uses credentials of the candidate and various demographics factors to predict the probability of a candidate to look out for new jobs or remain at the company.

clustering classification oversampling xgboost-classifier

Updated Jun 14, 2021
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