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roc-auc-curve

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labrijisaad / Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

nlp machine-learning sentiment-analysis logistic-regression support-vector-machine confusion-matrix twitter-sentiment-analysis tokenization stemming lemmatization f1-score accuracy-score bernoulli-naive-bayes roc-auc-curve sentiment140-dataset

Updated Aug 14, 2023
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Sameer-ansarii / Customer-Churn-Prediction

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

python machine-learning-algorithms cross-validation feature-selection artificial-neural-networks confusion-matrix hyperparameter-tuning roc-auc-curve model-evaluation-and-selection

Updated Aug 25, 2023
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Transformer-BERT-SMS-Spam-Detection

Tejas-TA / Transformer-BERT-SMS-Spam-Detection

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

machine-learning natural-language-processing bag-of-words matplotlib confusion-matrix flask-api nlp-machine-learning stemming lemmatization scikitlearn-machine-learning multinomial-naive-bayes attention-is-all-you-need joblib bert-model tfidf-vectorizer tensorflow2 huggingface-transformers lightgbm-classifier roc-auc-curve spam-sms-detection

Updated May 1, 2023
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pajaskowiak / clusterConfusion

Clustering validation with ROC Curves

clustering k-means roc-curve clustering-algorithm clustering-evaluation hierarchical-clustering clustering-validation k-means-clustering roc-auc clustering-analysis roc-plot roc-curves roc-analysis auc-score roc-auc-curve roc-auc-score

Updated Jul 5, 2023
R

Safaa-p / Disease-classification-Plant-Village-dataset

Develop and train image classification models using advanced deep learning techniques to identify diseases specific to apples.

computer-vision deep-learning tensorflow grad-cam classification inceptionv3 normalization resnet-50 mobilenet imagehash desease tf-keras-vis grad-cam-visualization roc-auc-curve roc-auc-score

Updated Dec 8, 2023
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CustomerSegmentationPredictionforArvato

minyansh7 / CustomerSegmentationPredictionforArvato

Build Customer Segments and predict customer responses to marketing campaign for Arvato Financial Services

machine-learning pca-analysis kmeans-clustering roc-auc-curve

Updated Sep 4, 2021
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VivekSagarSingh / Probability-of-Credit-card-Default

Classification problem using multiple ML Algorithms

numpy heatmap logistic-regression confusion-matrix statsmodels gradient-boosting-classifier multicollinearity smote iqr random-forest-classifier ada-boost-classifier gridsearchcv pandas-python precision-recall bagging-ensemble roc-auc-curve variance-inflation-factor linear-discriminant-analysis-classifier

Updated Jan 1, 2024
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Buffless24 / BreastCancer-Analysis-and-Prediction

Data analysis, visualization and prediction to predict whether a patient has benign or malignant breast cancer based on properties of the cancer

data-science machine-learning random-forest machine-learning-algorithms data-visualization dataset data-analysis decision-trees breast-cancer-prediction decision-tree-classifier prediction-model label-encoder smote-algorithm roc-auc-curve

Updated Feb 16, 2022
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shubham199408 / Churn-prediction-using-logistic-regression-in-Python

Build a logistics regression learning model on the given dataset to determine whether the customer will churn or not.

eda feature-selection confusion-matrix feature-engineering imbalanced-data smote model-validation model-building roc-auc-curve

Updated Jan 2, 2022
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pajaskowiak / aucc

AUCC (Python Implementation)

clustering cluster k-means cluster-analysis clustering-algorithm hierarchical-clustering clustering-validation clustering-methods k-means-clustering clustering-measures area-under-curve roc-curves roc-auc-curve clustering-quality

Updated Feb 23, 2024
Python

nvlinhvn / customer-targeting-for-insurance

Identify which customer is willing to possess the insurance policy, so we campaign efficiently.

entropy xgboost binary-classification precision-recall-curve imbalanced-classification stacking-ensemble roc-auc-curve ks-distributions

Updated May 24, 2024
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shanuhalli / Assignment-Neural-Networks

Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.

machine-learning deep-learning neural-network tensorflow keras optimizer feature-selection outlier-detection confusion-matrix feature-engineering hyperparameter-tuning log-transformation label-encoder sklearn-metrics roc-auc-curve standard-scaler assignment-16

Updated Feb 8, 2023
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saikrishnabudi / Neural-Networks

Data Science - Neural Networks Work

machine-learning neural-network tensorflow keras optimizer outlier-detection deeplearning standardscaler sklearn-metrics hyperparametertuning labelencoder featureselection roc-auc-curve logtransform

Updated Jan 22, 2024
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rochitasundar / Classification-booking-cancelation-prediction-StarHotels

The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate prof…

logistic-regression confusion-matrix statsmodels decision-tree-classifier grid-search-hyperparameters sklearn-library precision-recall chi-squared-test cost-complexity-pruning roc-auc-curve variance-inflation-factor scipy-stats

Updated Jan 20, 2022
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Kovenda / R-Shiny-App-to-predict-Factors-Affecting-Survival-of-CHD

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…

r r-shiny goodness-of-fit roc-curve interaction-effect correlation-matrix likelihood-ratio-test false-positive-rate scatterplot-matrix roc-auc-curve r-shiny-apps lowess-fit

Updated Jul 27, 2022
R

aarryasutar / Logistic_Regression_on_Age_Prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

visualization numpy scikit-learn pandas feature-selection recall logistic-regression confusion-matrix precision rmse f1-score model-training accuracy-score roc-auc-curve

Updated Aug 10, 2024
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Harmanveer2546 / Wafer-Fault-Detection

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

python machine-learning random-forest numpy pandas xgboost svc sklearn-library roc-auc-curve roc-auc-score

Updated Jun 20, 2023
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varmatilak22 / Credit_Score_Prediction

This project predicts credit scores ('Good', 'Standard', 'Poor') using a streamlined ML pipeline. It includes data extraction, cleaning, and preprocessing. Key techniques are Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for accurate and efficient model training, ensuring reliable and robust predictions.

python pipeline numpy pandas feature-selection pca dimensionality-reduction sqlite3 mutual-information classification-report imblearn joblib streamlit xgboost-classifier roc-auc-curve random-search-optimization

Updated Sep 5, 2024
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varshith-alladi / Leukemia-Cancer-Classification

This is a Bio Informatics project for the classification of types of Leukemia Cancer i.e., ALL & AML based on gene expression data. An accuracy of 0.94 has been achieved by using Support Vector Machine(SVM). The dataset has been collected from 'Kaggle' where gene descriptions are given as the features.

python machine-learning bioinformatics support-vector-machine confusion-matrix kaggle-dataset cancer-classification roc-auc-curve

Updated May 14, 2023
Jupyter Notebook

chomiczdawid / simple-credit-scoring

PD model using Logistic Regression in Python

python statistics sklearn jupyter-notebook logistic-regression credit-scoring credit-risk woe-and-iv roc-auc-curve

Updated May 28, 2023
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