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PREDICTING NEPALESE BANK LOAN DEFAULT RATE POST PANDEMIC USING A.I.

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Introduction End to End learning of features in the dataset has led to advances in prediction and classification of data which outperform expert humans at gameplay. AI is used in every industry for different purposes, this paper is focused on the Banking Industry of Nepal on assisting the credit department for defaulter prediction which is certain to rise after the pandemic. I made an AI module to predict loans, which may get default in the future with the use of high level deep learning neural networks and classifiers. There has been extensive research inspired by the financial world and AI engineers for bridging the gap. Many more implications of AI on business will be witnessed by us within a few years.   Goal: To Predict loans which might get default in Future. Requirement: 1.      Python 3 or higher 2.      Jupyter NoteBook or GPU processer 3.      Intermediate Knowledge of Python Libraries 4.      Working Knowledge of Machine Learning Li

Detect Fraud & Non Fraud Transaction with Machine Learning Tools and Neural Networks using Python

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Introduction This is the detail walk through for detecting fraud with the Keras using Tensor Flow in backend, with Imbalanced data. Purpose of this documentation is to design a personalized module. Let's start from requirements, Requirements: Python 3 Jupyter NoteBook Intermediate Knowledge of Python Libraries Hands-on experiance with Machine Learning Libraries Hands-on experience with Deep Learning Libraries Tensorflow and Keras Labeled Dataset Guidelines to Read the document    1. I tried to make this article as simple as possible, most of the codes are not written down.    2. Codes are written in Italic scripts in Blue Color .    3. Steps are written down in Maroon Color    4. Output of the code are written dow under  Output []     5. Figures are all generate from the algorithms. Goal of the Project To Detect the Fraud Transaction with different classifiers and using Neural Network to best classifier. #Install Tensorflow in Juypter N