Task 1#3
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iamarchisha
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iamarchisha
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In the notebook, after performing any action comment on the results obtained. Explain the observation or the output that you are getting after executing the cell. Eg: df.corr returns a correlation matrix, so explain what can be inferred from the result obtained. What does it show? Which features are correlated? What can be the reason? What further action can be taken on them?
The csv is to be re-used or if you are using a new dataset, add it to the /data folder with an appropriate name. Also, rename the notebook. Work on a separate branch. Do not use origin:master
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This work is very good. You have clearly documented all the functions being executed in the cell. The inferences are good. Great job on completing the first issue!
Just keep Task1(Train and Test a model).ipynb in the pull-request. Remove the other files. Read the csv file from the one stored in the data folder. Note for future contributions: use a separate branch instead of master. It helps keep a track of work and make changes easy.
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Fixes #2
Notebook for task 1 and the data used.