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bostonhousingpriceprediction

Solution of Kaggle's Boston Housing Price problem. It's a regression problem where the price of houses depends on several parameters.

character-level-language-model

A deep learning based language model, which uses Recurrent Neural Network of GRUs to predict following words

dstreet

python library to access various kinds of stock market data in real time

facedetection

Face detection using Haar-Cascade in Python OpenCv

hackerrank-solutions

lorenz-attractor

Computes the solution of coupuled differential equaiton of Lorenz Attractor

neural-network

Java package on neural network to devise coustomized multilayer peceptron arcitecture and perform feedforward and back propagation.

sales-forecast-with-random-forest

On the basis of sales data from 45 different BigMore stores located in different regions, I have predicted the sales for each department in each store.

sequence-to-sequence-model

Building and testing the schematics of the Sequence to Sequence model using Tensorflow

smsparser

A python program to analyze a message and identifies if the message is asking the user to pay the bill and if so than the program extract informations like category, amount and due date of paying a bill, message will be ignored if it does not express the sentiment of a bill payment request.