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F1 TEAM CLASSIFICATION

[Baseline] F1 Team Classification

Baseline notebook for F1 Team Classification Challenge of Blitz 8

Shubhamaicrowd

creative blitz 8_7.1 _linkpreview copy 7.jpg

Getting Started Code for F1 Team Classification Challenge on AIcrowd

Author : Shubhamai

Download Necessary Packages 📚

In [ ]:
!pip install --upgrade fastai 
!pip install aicrowd-cli

Collecting fastai
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Installing collected packages: fastcore, fastai
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Download Data ⏬

The first step is to download out train test data. We will be training a model on the train data and make predictions on test data. We submit our predictions.

In [ ]:
API_KEY = '6c4dc1818e928ae4f5ca02323114f662' #Please enter your API Key from [https://www.aicrowd.com/participants/me]
!aicrowd login --api-key $API_KEY

API Key valid
Saved API Key successfully!
In [ ]:
!aicrowd dataset download --challenge f1-team-classification -j 3

train.csv:   0% 0.00/569k [00:00<?, ?B/s]
train.csv: 100% 569k/569k [00:00<00:00, 1.87MB/s]

sample_submission.csv: 100% 134k/134k [00:00<00:00, 727kB/s]
val.csv: 100% 52.9k/52.9k [00:00<00:00, 593kB/s]
train.zip:   0% 0.00/391M [00:00<?, ?B/s]
train.zip:   9% 33.6M/391M [00:02<00:28, 12.7MB/s]

val.zip:   0% 0.00/38.9M [00:00<?, ?B/s]
train.zip:  26% 101M/391M [00:06<00:18, 16.0MB/s] 

val.zip:  86% 33.6M/38.9M [00:04<00:00, 6.89MB/s]

val.zip: 100% 38.9M/38.9M [00:04<00:00, 7.81MB/s]
train.zip:  34% 134M/391M [00:08<00:15, 16.2MB/s]
train.zip:  43% 168M/391M [00:11<00:14, 15.3MB/s]
test.zip: 100% 97.7M/97.7M [00:11<00:00, 8.68MB/s]
train.zip: 100% 391M/391M [00:24<00:00, 15.9MB/s]

Below, we create a new directory to put our downloaded data! 🏎

We unzip the ZIP files and move the CSVs.

In [ ]:
!rm -rf data
!mkdir data

!unzip train.zip  -d data/train
!unzip val.zip -d data/val
!unzip test.zip  -d data/test

!mv train.csv data/train.csv
!mv val.csv data/val.csv
!mv sample_submission.csv data/sample_submission.csv

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