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arithmetic-operations-on-image

Perform various arithmetic operations on an input image, including addition, subtraction, multiplication, and inversion. These operations allow for manipulation of pixel values in the image, resulting in different visual effects.

assignment_1

gamerental

gans

garbage_classification

CNN model to classify garbage

hamming_network

Hamming Network implementation using PCA implementation from scratch

handwritten-digit-classification-using-k-means-clustering

Using K-Means clustering, with feature extraction comparison between centroid and chaincode methods.. The script implements K-Means clustering from scratch, performs feature extraction using both centroid and chaincode techniques, evaluates classification accuracy, and compares the effectiveness of the two feature extraction methods.

handwritten-digit-recognition-with-chaincode-feature-extraction

This script recognize handwritten digits using the MNIST dataset. Implementation using chaincode-based feature extraction, which offers an alternative method for capturing relevant information from digit images. The script divides the data into training and testing sets, utilizes a classifier, and evaluates its accuracy.

image_histogram_analysis

Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.

imageclassification

low_expertsystem

machine_learning

parkgarage

regressionmodel

robofood

student-affairs-website

text_processing-and-unique_word_extraction_fromhtml

Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.

tf-idf-with-text-generation

Implement of Term Frequency-Inverse Document Frequency (TF-IDF) algorithm from scratch in two different ways, accompanied by text generation methods. TF-IDF is a widely used technique in natural language processing and information retrieval to represent the importance of a term within a document relative to a collection of documents.