GitHub / SridharYadav07 / Machine-Learning-Project-Bankruptcy-Prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SridharYadav07%2FMachine-Learning-Project-Bankruptcy-Prevention-

Topics: data-preprocessing, evaluation, machine-learning-models, matplotlib-pyplot, modelbuilding, modeldeployment, numpy, pandas, python, scikit-learn, seaborn

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