shakibyzn / Traffic-flow-prediction

A time series task- predicting traffic flow using LSTM model

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Traffic-flow-prediction

Traffic flow prediction using machine learning models and LSTM


Table of Contents


Description

The project name is traffic flow prediction using kaggle dataset (https://www.kaggle.com/coplin/traffic). Google colaboratory notebook is available. In this task I managed to apply my knowledge in the data science field such as data pre-processing ( data cleaning, outlier detection, data formatting) and use exploratory data analytics techniques to find out patterns among features. Moreover, I applied a machine learning regressor model together with Deep Learning LSTM model.

Techniques

  • Exploratory Data Analysis
  • Machine Learning and Data Visualization
  • Deep Learning (LSTM)

Back To The Top


License

MIT License

Copyright (c) [2020] [Shakib Yazdani]

Back To The Top


Author Info

Back To The Top

About

A time series task- predicting traffic flow using LSTM model

License:MIT License


Languages

Language:Jupyter Notebook 100.0%