Completed

Tensorflow Machine Learning Project

I need a python script that does the following:

- Using tensorflow

- Uses CSV files for input and output (example will be provided)

Based on arguments to the python script it can do two different things:

- Create models for Regression and Classification

- Input is a file location to a CSV file with training data

- Predict for new data based on the models created

- Input is the models to use file location to a CSV with new data to be predicted on (same format as training data

Creating Models

Ability to create two different types of models

- Regression: Predict the goal difference for the game based on the data provided

- Classification: Predict if the game will be a WIN / DRAW / LOSS

- I would also need the probability of that being true

- Also interesting in looking into using neural networks based on your feedback

- Need a way to save models and use them for predicting later

- Output is the model saved in the file system

Prediction

- Ability to run the models on new data to predict based on the different types

- Output is a new CSV with new prediction columns added.

- Ie, PrediectedGoalDiff, PredictedResult, PredictedResultProbability

This is a rough design for what I am looking for. Your feedback and suggestion would be appreciated.

At the end of the initial version I would like to take over the project but if we both agree it would nice to have you available for help by chat on an hourly basis.

Skills: Data Mining, Machine Learning (ML), Python, Statistics, Tensorflow

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About the Employer:
( 0 reviews ) Vancouver, Canada

Project ID: #19577221

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usamamw141

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31 freelancers are bidding on average $221 for this job

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