class DataScientist:
def __init__(self):
self.name = "Ben"
self.location = "Switzerland"
self.level = 6
self.health = "β€οΈ" * 10
self.languages = {
"Python": "β€οΈβ€οΈβ€οΈ",
"R": "β€οΈβ€οΈβ€οΈ",
"SQL": "β€οΈβ€οΈβ€οΈ"
}
self.powers = ["pandas", "numpy", "matplotlib", "seaborn", "plotly",
"sklearn", "pytorch", "wandb"]
self.xp = "185/300 β
β
β
β
β
β
π²π²π²π²"
def say_hello(self):
print(f"Thanks for stopping by! Let's transform data into insights!")
me = DataScientist()
me.say_hello()
git status
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Immobilienrechner-Challenge/docs
Immobilienrechner-Challenge/docs PublicChallenge documentation and ressources
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CDL1-Sensor/Sensor-Klassifikation-ohne-Deep-Learning
CDL1-Sensor/Sensor-Klassifikation-ohne-Deep-Learning PublicJupyter Notebook
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CDL1-Sensor/Sensor_Klassifikation-mit-Deep-Learning
CDL1-Sensor/Sensor_Klassifikation-mit-Deep-Learning PublicSensors_Analytics_Deeplerning
Jupyter Notebook
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