Leveraging the Artificial Neural Networks (ANN), Support Vector Machine (SVM) & K-means Clustering as Machine Learning Tools & Techniques to enhance the accuracy in Financial Analysis

Ankita Punjani

Vol. 10, Jul-Dec 2020

Abstract:

The discovering of Patterns from the vast data set is called data mining. Mining involves machine learning techniques, statistics and database systems. Emerging from the fields of AI and Pattern recognition, ML itself can learn from testing sets. In Many Financial institutes, financial data has been analyses to get the defaulters using ML technique, Using ML Techniques; it helps us to reduce the errors involved and saving time consumption. To prevent the losses of the financial institute, we have applied lots of ML Techniques like Decision tree, ANN, SVM and k Means Clustering

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