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Neural-Network

IMAGE CLASSIFICATION USING FASHION MNIST It consists of Neural Network using MNIST dataset to classify images into 10 categories like Tshirt,Boots,Trouser and some more. Uses Multi layer Classification,predicts the correct output with accuracy more than 90%.

REGRESSION ANALYSIS USING NEURAL NETWORK(california housing dataset) Creating model with input,hidden and output layers first using Sequential Method then using Functional API method. To know better check it out:-> https://medium.com/@hanify/sequential-api-vs-functional-api-model-in-keras-266823d7cd5e Model can be savd and restored later Using callbacks during training

DATA PREPROCESSING Onre of the most important step while Applying Machine Learning algoritms is data preprocessing such as missing values imputation,conversion of categorical var to numeric var,removing useless variables and so on.Hence this code.

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Neural Network-training the perceptrons to give a much more accurate output.

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