kumamt

amitk0693

Time-Series-Analysis-Bitcoin

Time Series analysis using Deep Neural Network

Prototype_Selection

Prototype Selection for Interpretable Classification

MNIST-Using-Jupyter-Notebook

Classification of MNIST dataset using Jupyter Notebook without and with hidden layer.

Sentiment-Analysis-McDonalds

A sentiment analysis of negative McDonald's reviews.

Possibilistic-Fuzzy-Neural-Gas

Prototype based vector quantization covers a whole group of algorithms designed for clustering and data compression.

CNN_MNIST

Training Neural Network to solve classification problem of MNIST Hand Written Digits.

k-Nearest-Neighbor

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.