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How I Built A Deep Neural Network To Classify SVHN Dataset Images And Compared It With KNN Algorithm

How I Built A Deep Neural Network To Classify SVHN Dataset Images And Compared It With KNN Algorithm

The objective is to classify SVHN dataset images using KNN classifier, a machine learning model and neural network, a deep learning model and learn how a simple image classification pipeline is implemented. To train the models, optimal values of hyperparameters are to be used. We will compare the performances of
Sarvesh Chandra Jan 29, 2020
Applied Statistics, Exploratory Data Analysis (EDA) On An Insurance Dataset To Find Valuable Insights

Applied Statistics, Exploratory Data Analysis (EDA) On An Insurance Dataset To Find Valuable Insights

An insurance dataset contains the medical costs of people characterized by certain attributes. It has 1338 records of people with 7 attributes, which are: 1. age: Primary beneficiary 2. sex: Gender of insurance contractor (male, female) 3. bmi: Body mass index for an understanding of body whether it is high
Sarvesh Chandra Jan 29, 2020

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