Mahendra Thakur

BigMart-Sales-Prediction

January 24, 2018 – January 24, 2018

The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

Machine-Learning

January 24, 2018 – January 24, 2018

ML Models

Natural-Language-Processing-

January 24, 2018 – January 24, 2018

Restaurant_Reviews

Image-classifier-using-convolutional-neural-network

January 24, 2018 – January 24, 2018

Deep neural network that can recognize images with an accuracy of 78.4%

Loan-prediction1-

January 23, 2018 – January 23, 2018

R ,Machine Learning Algorithms :- Random Forest,SVM,knn

Stock-Price-prediction-using-Recurrent-Neural-Network-LSTM-

January 23, 2018 – January 24, 2018

In this project, I made an attempt to build a LSTM-RNN model to predict stock prices using keras with tensorflow(backend). The training data comes from historical closing prices of various stock indices and news sentiment score. The accuracy of the stock price prediction is measured by Root Mean Square Error (RMSE). We did some experiments on the network's hyper-parameters such as LSTM cell hidden state size, truncated back propagation length and depth of the network. Last but not the least, we built a website using this prediction model as engine with Flask and python.

HR-Attrition-

January 23, 2018 – January 23, 2018

ML Project HR-Attrition in R using Random Forest.