random-under-sampling

There are 0 repository under random-under-sampling topic.

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.
machine-learning two-stage flight-delay-prediction pre-processing data-cleaning data-visualization airports forecasts flights feature-selection feature-extraction correlation-coefficient feature-ranking auc-roc-curve performance-metrics pipelining smote smote-oversampler random-under-sampling imbalanced-classes
Language:Jupyter Notebook 17
Tek-nr / AI-Based-Fraud-Detection
A fraud detection project that processes user or credit card data using machine learning and deep learning algorithms.
adasyn deep-learning fraud-detection machine-learning random-over-sampling random-under-sampling smote
Language:Jupyter Notebook 14
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.
classification-algorithims cross-validation smote-sampling random-under-sampling train-validation-test sklearn-metrics pipeline randomizedsearchcv
Language:Jupyter Notebook 13
santiagoahl / breast-cancer-prediction
Machine Learning model API deployed with GCP & DVC. Predicts a breast-cancer diagnostic.
angular-cli breast-cancer css docker fastapi gcp html kaggle-dataset logistic-regression random-under-sampling
Language:Jupyter Notebook 3
shalakasaraogi / credit-card-fraud-detection
Credit card fraud detection using machine learning techniques
fraud-detection credit-card smote ros random-over-sampling random-under-sampling synthetic-minority-over-sampling
Language:R 3
AvinandanBose / Credit-Card-Fraud-Detection-Machine-Learning-
Credit Card Fraud Detection using Python and Machine Learning.
machine-learning machine-learning-algorithms credit-card creditcard artificial-intelligence logistic-regression oversampling smote-sampling pca tomek-link-elimination support-vector-machines decision-trees random-over-sampling random-under-sampling stratified-cross-validation quantile-transformer python seaborn matplotlib matplotlib-pyplot
Language:Jupyter Notebook 1
sharmasapna / credit-card-fraud-detection
Code to detect credit card fraud detecton
fraud-transactions fraudulent-transactions credit-cards smote-sampling random-over-sampling random-under-sampling decision-trees logistic-regression xgboost random-forest isolation-forest k-means-clustering tsne-visualization tsne-plot outlier-detection autoencoders recall-precision accuracy transaction-numbers dnn
Language:Jupyter Notebook 1
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.
bivariate-analysis boxplot categorical-predictors correlation dummies exploratory-data-analysis feature-scaling hyperparameter-tuning imbalanced-data model-evaluation-metrics random-under-sampling support-vector-machine svm-classifier univariate-analysis
Language:Jupyter Notebook 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
classification-algorithims cross-validation pipeline random-under-sampling randomizedsearchcv sklearn-metrics smote-sampling train-validation-test
Language:Jupyter Notebook 0