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GitHub topics: random-under-sampling

TienNguyen93/diabetes-prediction

Implement a suite of ML algorithms to improve diabetes prediction

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

manjugovindarajan/RENEWIND-predictive-maintenance-cost-maintenance-usingML

The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionizing model using pipelines

Language: Jupyter Notebook - Size: 6.62 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nive927/Flight_Delay_Prediction

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 15

Tek-nr/AI-Based-Fraud-Detection

A fraud detection project that processes user or credit card data using machine learning and deep learning algorithms.

Language: Jupyter Notebook - Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sharmasapna/credit-card-fraud-detection

Code to detect credit card fraud detecton

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

shalakasaraogi/credit-card-fraud-detection

Credit card fraud detection using machine learning techniques

Language: R - Size: 3.29 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

AvinandanBose/Credit-Card-Fraud-Detection-Machine-Learning-

Credit Card Fraud Detection using Python and Machine Learning.

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

rochitasundar/Predictive-maintenance-cost-minimization-using-ML-ReneWind

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

santiagoahl/breast-cancer-prediction

Machine Learning model API deployed with GCP & DVC. Predicts a breast-cancer diagnostic.

Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

bushra-ansari/Predicting-Term-Deposit-Subscription-by-a-Client-by-SVM-Classifier

Support Vector Machine Classification model is applied on bank dataset containing 41188 rows and 21 columns. The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to assess if the product (bank term deposit) would be ('yes') or not ('no') subscribed.

Language: Jupyter Notebook - Size: 787 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Related Keywords
random-under-sampling 10 smote-sampling 5 random-over-sampling 4 logistic-regression 4 machine-learning 4 smote 3 decision-trees 2 fraud-detection 2 train-validation-test 2 sklearn-metrics 2 randomizedsearchcv 2 pipeline 2 cross-validation 2 classification-algorithims 2 xgboost 2 random-forest 2 pca 2 credit-card 2 angular-cli 1 tomek-link-elimination 1 support-vector-machines 1 univariate-analysis 1 stratified-cross-validation 1 seaborn 1 quantile-transformer 1 python 1 oversampling 1 matplotlib-pyplot 1 matplotlib 1 machine-learning-algorithms 1 creditcard 1 artificial-intelligence 1 synthetic-minority-over-sampling 1 ros 1 svm-classifier 1 support-vector-machine 1 model-evaluation-metrics 1 imbalanced-data 1 hyperparameter-tuning 1 feature-scaling 1 exploratory-data-analysis 1 dummies 1 correlation 1 categorical-predictors 1 boxplot 1 bivariate-analysis 1 kaggle-dataset 1 html 1 gcp 1 fastapi 1 docker 1 css 1 breast-cancer 1 pipelining 1 performance-metrics 1 imbalanced-classes 1 forecasts 1 flights 1 flight-delay-prediction 1 feature-selection 1 feature-ranking 1 feature-extraction 1 data-visualization 1 data-cleaning 1 correlation-coefficient 1 auc-roc-curve 1 airports 1 stratified-sampling 1 multilayer-perceptron 1 linear-svc 1 gridsearchcv 1 tsne-visualization 1 tsne-plot 1 transaction-numbers 1 recall-precision 1 outlier-detection 1 k-means-clustering 1 isolation-forest 1 fraudulent-transactions 1 fraud-transactions 1 dnn 1 credit-cards 1 autoencoders 1 accuracy 1 deep-learning 1 adasyn 1 two-stage 1 smote-oversampler 1 pre-processing 1