kaiyoken3618/Enamul

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Created almost 4 years ago
Updated almost 4 years ago

kaiyoken3618/Enamul

kaiyoken3618

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Image-Classification

classification of a single object image using neural network

Jupyter Notebook

E_Commerce_Website

A simple E_commerce website using html,css,javascript and PHP

Bank-DBMS-using-plsql

A bank management system using database.

WP_Blog

A Blog_Site that includes programming language, tools, development scopes discussion.Wordpress plugins and theme customization has been done in this project.

Minimum-Error-Rate-Classifier

Implementation of Minimum Error Rate Classifier for which .csv file is used as dataset. Lastly a graph is plotted to distinguish between classes.

Jupyter Notebook

Different-Filters-on-same-image-using-matlab

Laplacian, Sobel and power law transform is applied on same image and the images are plotted.

Resto_Site

A website in which information of restaurants can be seen. Functions that can be performed : Add, remove, update, registration, login and more to add.Angular and JSON API is used.

HMM-implementation

Viterbi algorithm is used here.The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states—called the Viterbi path—that results in a sequence of observed events, especially in the context of Markov information sources and hidden Markov models (HMM).

K-Means-Clusterring

Implementation of K-Means Clusterring method.As a dataset .txt file is used,implementation is divided into questions according to the question file which is given.

Jupyter Notebook