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roc-auc-score

Here are 18 public repositories matching this topic...

vaitybharati / Assignment-06-Logistic-Regression

Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","st…

python classifier numpy eda pandas seaborn logistic-regression linear-model confusion-matrix roc-curve concatenation logistic-regression-algorithm logit-model matplotlib-pyplot one-hot-encoding roc-auc-score

Updated Jun 16, 2021
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Lakshmipriya-S / Jobathon-Analytics-Vidhya

Lead generation for credit card

bank fold leads credit-card prediction consists gradient feature-engineering revenue analytics-vidhya-competition roc-auc-score jobathon

Updated Jul 21, 2022
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PatilSukanya / Assignment-06.-Logistic-Regression

Used libraries and functions as follows:

python classifier numpy eda pandas seaborn logistic-regression confusion-matrix roc-curve linear-models logistic-regression-algorithm logit-model matplotlib-pyplot one-hot-encoding roc-auc-score concatination

Updated Sep 17, 2022
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AV-Jobathon-May-21

developedbysm / AV-Jobathon-May-21

credit card lead prediction

data-science bank fold leads credit-card prediction consists gradient feature-engineering revenue analytics-vidhya-competition dataanalysis 2021 analyticsvidhya roc-auc-score

Updated Jun 27, 2021
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harmanveer-2546 / 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 clustering numpy sklearn data-transformation pandas seaborn feature-selection xgboost matplotlib svc roc-auc-curve roc-auc-score

Updated Jun 8, 2024
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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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tpurcell0122github / INNHotels

A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.

visualization logistic-regression pruning confusion-matrix decision-trees multicollinearity precision-recall-curve featureimportances cost-complexity-pruning roc-auc-curve roc-auc-score

Updated Nov 2, 2022

harmanveer-2546 / Mystery-Planet

Exoplanet Hunting in Deep Space.

python deep-learning tensorflow space keras cnn exoplanets scipy densenet hunting mystery roc-curve pooling-layers deep-space linearregression standardscaler batchnormalization roc-auc-score

Updated Aug 5, 2024
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sultanazhari / decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

random-forest numpy pandas python3 seaborn logistic-regression confusion-matrix accuracy-score train-test-using-sklearn matplotlib-pyplot chi2-contingency roc-auc-score

Updated Jul 1, 2024
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JustAbhishek / Credit-Card-Lead-Prediction

It is a Hackathon problem statement solution, which is arranged by Analytics Vidhya.

python machine-learning-algorithms credit-risk roc-auc-score jobathon

Updated Jul 2, 2021
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sultanazhari / prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

random-forest numpy pandas python3 seaborn confusion-matrix logistic-regression-algorithm accuracy-score train-test-using-sklearn matplotlib-pyplot roc-auc-score

Updated Jul 1, 2024
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rochitasundar / TwitterSentimentAnalysis-BigDataProject

Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

twitter-api aws-s3 python3 pyspark aws-ec2 twitter-sentiment-analysis aws-athena aws-kinesis-firehose count-vectorizer databricks-notebooks tf-idf-vectorizer accuracy-metrics aws-quicksight roc-auc-score multiclass-evaluator

Updated May 2, 2022
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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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tacotuesday / develop_zscore_and_baseline_results

ROC, AUC, and Z-score functions for anomaly detection

anomaly-detection z-score roc-auc-score

Updated Jun 6, 2024
Python

utkarsh-21st / dimensionality-reduction-using-auto-encoder

Perform Dimensionality Reduction using AutoEncoder.

keras autoencoder low-dimensional-features xgboost-classification-model roc-auc-score

Updated May 18, 2021
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waannuullll / telco-churn-prediction

Increased the ROC AUC score by 2.14% of predicting the churn of users in telecommunication company using hypertuning parameter and feature engineering.

data-science machine-learning statistical-analysis logistic-regression support-vector-machines k-nearest-neighbours roc-auc-score

Updated Jun 14, 2021
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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

GunturWibawa / BetaBankChurnAnalysis

Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.

numpy sklearn bank pandas python3 seaborn f1-score decisiontreeclassifier r2-score mean-absolute-error matplotlib-pyplot mean-squared-error roc-auc-score scipy-stats randomforrestclassifier

Updated Aug 8, 2023
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