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Making Data Predictions With Obviously AI

Making Data Predictions With Obviously AI

Updated:
May 11, 2021
By:
Ravinder Deol
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Table Of Contents

1. Selecting Our Data

2. Analysing Our Data

Project Resources

Obviously AI

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1. Selecting Our Data

Sign up for an account on Obviously AI.

Log into Obviously AI. Then, select the dataset you’d like to use. (If you already have a dataset, click ‘Add Dataset’. Then, upload your CSV file.)

For this project, use the dataset titled ‘FIFA Players’ in Obviously AI’s datastore.

Click, ‘Use For Prediction’.

Select ‘Pick A Column To Predict’. Then, select which column you’d want to predict. For this project, select ‘Potential’.

Click, ‘Go’. Then, ‘Start Predicting’.

2. Analysing Our Data

Rename the report to ‘FIFA Players Report (Potential)’.

Begin with interpreting the data in the ‘Drivers’ tab.

Review ‘Drivers For Predicting Potential’ to view the data we analysed.

You’ll notice that ‘Wage’ is indifferent to the potential of a player. The ‘Overall’ rating of a player is directly proportional to potential. And ‘Overall’ and ‘Age’ and proportional to determining potential.

You can review ‘Top Drivers By Impact’ for a deeper analysis.

In the ‘Persona’ tab, you can set attributes to predict different outcomes.

In the ‘Export’ tab, you can export your data. And, in the ‘Tech Specs’ tab, you can take a birds-eye view of your dataset.

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