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F1 TEAM CLASSIFICATION

[Baseline] F1 Team Classification

Baseline notebook for F1 Team Classification Challenge of Blitz 8

By  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 [1]:
!pip install --upgrade fastai 
!pip install aicrowd-cli
Collecting 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 [2]:
API_KEY = '92adadf1ec2b994477a09a6742890318' #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 [3]:
!aicrowd dataset download --challenge f1-team-classification -j 3
sample_submission.csv: 100% 119k/119k [00:00<00:00, 1.98MB/s]
train.csv: 100% 569k/569k [00:00<00:00, 4.03MB/s]
test.zip:   0% 0.00/97.7M [00:00<?, ?B/s]
val.csv:   0% 0.00/52.9k [00:00<?, ?B/s]

val.csv: 100% 52.9k/52.9k [00:00<00:00, 1.31MB/s]

test.zip:  34% 33.6M/97.7M [00:03<00:06, 9.80MB/s]

train.zip:   9% 33.6M/391M [00:03<00:32, 11.1MB/s]
val.zip:  86% 33.6M/38.9M [00:04<00:00, 6.81MB/s]

val.zip: 100% 38.9M/38.9M [00:04<00:00, 7.79MB/s]
test.zip: 100% 97.7M/97.7M [00:10<00:00, 9.01MB/s]


train.zip:  26% 101M/391M [00:11<00:33, 8.74MB/s] 

train.zip:  34% 134M/391M [00:14<00:26, 9.50MB/s]

train.zip:  43% 168M/391M [00:18<00:24, 9.19MB/s]

train.zip:  52% 201M/391M [00:20<00:19, 9.89MB/s]

train.zip:  60% 235M/391M [00:23<00:15, 10.4MB/s]

train.zip:  69% 268M/391M [00:28<00:13, 9.07MB/s]

train.zip:  77% 302M/391M [00:31<00:09, 9.47MB/s]

train.zip:  86% 336M/391M [00:35<00:05, 9.35MB/s]

train.zip:  95% 369M/391M [00:38<00:02, 9.41MB/s]

train.zip: 100% 391M/391M [00:40<00:00, 9.56MB/s]

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

We unzip the ZIP files and move the CSVs.

In [4]:
!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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