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Data-Structures-and-Algorithms
Solution to 500+ popular data structure and algorithm problems in Java, C++ and Python programming languages.FCM-Satellite-Images-in-Python
Fuzzy C-Means clustering on Satellite Images.fuzzy-clustering-satellite-image
A web application to perform Fuzzy clustering on a satellite images using Expectation-Maximum AlgorithmWine-Customers-Classification-with-PCA-in-Python
Used PCA (an unsupervised technique) to perform dimensionality reduction on given dataset. Modeled Logistic Regression on selected features to classify the wine customers. Model accuracy 97.22%.Flight-Delay-Prediction-by-Logistic-Regression-in-Python
Modeled Logistic regression from scratch to predict the delay of flights.covid-detection-ct-scan-images
Detect whether a person is COVID-19 positive by CT Scan images of Transverse Section of Chest.Flight-Delay-Prediction-in-Python
SUV-Buyers-Classification-with-kPCA-in-Python
Used Kernel PCA to extract the principle components of non-linearly separable dataset of SUV Buyers. Modeled Logistic Regression to classify whether a person will buy a SUV or not. Model Accuracy is 91.25%PCA-from-Scratch-in-Python
Modeled Principal component analysis from scratch in PythonSUV-Buyers-Classification-in-Python
Performed Classification on non-linearly separable datasets of SUV Buyers. Modeled all the classification techniques available to find the best algorithm that classify whether a person will buy a SUV or not. Used k-Fold Validation for all the techniques. Model Accuracy on test set are: Logistic Regression-89.00% KNN- 93.00% SVM-90.00% Kernel SVM-93.00%, Naive Bayer's-90.00%, Decision Tree-91.00%, Random Forest-91.00%Wine-Customers-Classification-with-LDA-in-Python
Used LDA (supervised technique) to perform dimensionality reduction on datasets. Modeled Logistic Regression on selected features to classify the wine customers. Model accuracy 100.00%Love Open Source and this site? Check out how you can help us