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Iris-Flowers-Classification-Project
A well known data set that contains 150 records of three species of Iris flowers Iris Setosa , Iris Virginica and Iris Versicolor. There are 50 records for each Iris species and every record contains four features, the pedal length and width, the sepal length and width. We are going to use a k-Nearest neighbors algorithm to classify these species based on these four features.Handwritten-Digit-Recognition-using-CNN-architecture
In this project, I am going to implement a handwritten digit recognition app using the MNIST dataset which is probably one of the most popular datasets among machine learning and deep learning enthusiasts. The MNIST dataset contains 60,000 training images of handwritten digits from zero to nine and 10,000 images for testing. So, the MNIST dataset has 10 different classes. The handwritten digits images are represented as a 28×28 matrix where each cell contains grayscale pixel value. I will be using a special type of deep neural network that is Convolutional Neural Networks(CNN). In the end, I am going to build a GUI in which you can draw the digit and recognize it straight away.Financial-Mathematics
Financial Mathematics Essential Graph , Binomial Tress, Strangle, winner process etc plotting and calculating.Web-Development
In there I have stored all my edited class and functions for my web development worksAESPython
AES Implementation from Scratch in PythonAlgorithm
My Practise on C++, Python, Java, MatlabLove Open Source and this site? Check out how you can help us