Hemayat Arifi
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    Machine Learning

  • 01

    House Price Prediction

    This ML model can predict house price for you using simple Linear Regression.

  • 02

    Cancer Detection

    This powerful model can detect cancer positivity with related feautures using K-Nearest Neighbor classifier.

  • 03

    Flower Classification

    This model can classify a flower wether its (Versicolor, Setosa, Virginica) within its petal lenght petal width and sepal lenght & sepal width using Support Vector Machines SVM.

  • 04

    Face Detection

    Using faces dataset this model can detect faces in images with over 95 percent accuracy.

    Neural Network & Deep Learning

  • 01

    Credit Dataset

    This simple single layer Neural Network can find out wether a customer is able to pay the loan or not according to their age, salary & loan amount over 99% accuracy.

  • 02

    Flower Classification

    With Neural Network we can achieve over 100% accuracy on iris dataset flower classification (multiple hidden layers used).

  • 03

    Smile Detector

    With this simple dataset our Neural Network is able to achiev 100% accuracy detecting happy face or sad (pixel painted faces not human faces).

    Convolutional Neural Network - CNN's

  • 01

    Digit Recognition

    This CNN trained model can recognize hand written digits in range of 0 up to 9 with about 98% accuracy Data Augmentation used on dataset.

  • 02

    Identifying Objects

    This CNN model can identify objects in the image, CIFAR 10 dataset is one of the hardest datasets which this model can figure out the object up to 84% accuracy.

    Recurent Neural Networks - RNN's

  • 01

    Temperature Forcast

    This RNN model is trained on the dataset and can forcast daily temperature on dataset.