cs464

There are 5 repositories under cs464 topic.

  • dijitalYoruk/Classification-of-Breast-Cancer-Cells

    In this project, various concepts are used for evaluating the cells and increasing the accuracy of cancer detection. These concepts are Principal Component Analysis (PCA), Logistic Regression Classification, K-Nearest Neighbors (KNN) Classification, Support Vector Machine (SVM) Classification, Decision Tree Classification, ANN and Naïve Bayes Classification. This algorithms are implemented by using scikit learn library and Pytorch.

    Language:Jupyter Notebook3100

  • dijitalYoruk/Logistic-Linear-Regression-Scratch

    Implemented Logistic Regression and Linear Regression from scratch by using only numpy library. Tried out different parameters for tuning and reported the results from every aspect. Implemented both batch gradient descent and stochastic gradient descent models and applied them to models.

    Language:Jupyter Notebook10

  • dijitalYoruk/Naive-Bayes-Scratch

    Implemented Bernoulli and Mutinomial Naive Bayes models from scratch to Twitter US Airline Data Set. Analyzed online data to measure customer satisfaction for the airlines in the US and reported the results in depth.

    Language:Jupyter Notebook10

  • dijitalYoruk/PCA-on-Eigenfaces

    Compressed face images using principal component analysis and decompressed the eigenfaces back to restore original images. This task is done by using Labeled Faces in the Wild dataset.

    Language:Jupyter Notebook10

  • dijitalYoruk/SVM-Classification

    Analysed the Support Vector Machines in depth. Implemented Soft Margin and Hard margin models with scikit learn library by using diffrent parameters and printed out the results and compared them.

    Language:Jupyter Notebook10