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cifar10_alexnet_imagenet_logisticregression

This repository contains code for analyzing the CIFAR-10 dataset using pre-trained AlexNet and logistic regression classifiers.

edge-detection

This repository contains Python code snippets for various image processing techniques, including Canny edge detection, gradient calculation, Harris corner detection, and Gaussian filtering.

efficient-traffic-management-system-for-congestion-detection-and-alert-using-haar-cascade

face-mask-detection-using-cnn

Face Mask Detection using Convolution Neural Networks

kaggle_titanic_contest_solution

This repository contains code and documentation for participating in the Titanic Kaggle competition, where the goal is to predict the survival status of passengers based on various features.

linear_polynomial_regression_scratch_with_l2_regularization

In this project, we aim to implement linear and polynomial regression of 2nd, 3rd, and 4th order from scratch, and apply L2-regularization to the 4th-order polynomial regression. We will perform these tasks using training data and evaluate the performance using different regularization parameters.

lung-cancer-detection

This project aims to predict lung cancer using Multiple Linear Regression and Logistic Regression algorithms. By analyzing various factors, such as patient demographics, lifestyle habits, and medical history, the algorithms predict the likelihood of a patient developing lung cancer.

pca_face_image_analysis

This repository contains Python code snippets for implementing Principal Component Analysis (PCA) to analyze face images.

stock_market_prediction

In this project, we aim to predict stock market prices using Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) neural networks. We will use historical stock data from Amazon (AMZN) to train and evaluate our models.