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(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Statistics and time series analysis is also required. This problem can be very well done by Deep Learning's Model Recurrent Neural Networks.

This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.

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Deep learning in time series analysis

Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"

Deep learning on multi-channel time series classification (medical data)

● Work on the project “LANDSLIDE FORECASTING SYSTEM” with Dr. Varun Dutt, an Associate Prof of IIT MANDI. ● My task was to implement various Deep Learning Time Series Forecasting models and apply Ensemble Learning to improve prediction.

This project seeks to utilize the Deep Learning model, Long-Short Term Memory (LSTM) Neural Network algorithm, Time Series Models, ARIMA and FBProphet to predict stock prices.

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"