Stock Price Prediction On Commercial Data Using RNN

A type of neural network called a recurrent neural network (RNN) uses the output from a previous step as input for the current step. Traditional neural networks have inputs and outputs that are independent of one another, but there is a need to remember the previous words in situations where it is necessary to anticipate […]

Building Image Merger Web Tool in Python

Image Merger tool is also useful just like the image size reducer tool. Lets take an example where is it needed, suppose we are about to fill some application where we have to submit our passport copy. We need the first and last page’s copy and we could either make a single image by combining […]

Stock Price Prediction On Commercial Data Using GRU

GRU are a kind of Neural Networks which are designed to overcome some issues with RNN. There are two primary issues with recurrent neural networks Calculations of gradients either fail or explode. Gradient calculations are expensive Gradient clipping is a solution to the expanding gradient problem, and other topologies like the gated recurrent unit (GRU) […]

Building Image Size Reducer Tool In Python

Image Size Reducer is much needed tool these days because most site wants us to upload various documents in the form of image but with the size limit. Modern days camera gives us image with size in megabytes but the server or site we need to upload the site has size limitation. There are sites […]

Stock Price Prediction On Commercial Data Using LSTM

LSTMS are a variety of RNNs but lets start with RNNs. RNNs are unable to remember long-term dependencies in time series data because of the vanishing gradient issue. An RNN version called LSTM was created to deal with this problem. Similar to RNN, LSTM features a hidden state that functions as short-term memory. Additionally, it […]

Making Fractal Shapes with Python

Fractal shapes are the continuous and never ending patterns that can be seen in the nature. But its quite different than the classical geometry in the sense of construction. Fractal shapes can be seen in many things in our nature where the shapes are repeating in itself with the same representation one popular example is […]

DBSCAN Clustering Algorithm

DBSCAN is an example of clustering algorithm. Clustering is the process of organizing a collection of concrete or abstract things into classes of related objects. A cluster is a group of data objects that are distinct from the objects in other clusters yet comparable to one another within the same cluster. There are various example […]

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