Stock prediction with Python
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Stock prediction with Python

によってLe Wagon Germany

説明

In this 2 hours online workshop, we will use Python to make two types of predictions:

Sales forecasting - a technique that is critical for any growing business, whether you’re looking to better anticipate costs, inventory, sales or other metrics 🥇
Stock predictions - because there’s no such thing as too many tools to improve your personal finances!

This workshop is brought to you by the #1 rated coding bootcamp worldwide:Le Wagon emerged in 2013 as one of the first tech bootcamps in France, offering web development and data science programs. Now, it has grown to a robust global community of tech talents with over 40 Le Wagon campuses in Amsterdam, Berlin, Lisbon, London, Melbourne, Mexico, Montreal, Singapore, São Paulo, Paris, and other cities worldwide.With this expansion, Le Wagon has helped over 15,000 developers, data scientists, designers, and entrepreneurs start their new careers in tech. Eight years on, the school continues to inspire tech aspirants to find their path in the industry.
Calendar 日時
走った火曜日 23 7月 2024
Location 所在地
オンライン
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https://www.lewagon.com/ja/events/stock-prediction-with-python-pRZklV

説明

In this 2 hours online workshop, we will use Python to make two types of predictions:

Sales forecasting - a technique that is critical for any growing business, whether you’re looking to better anticipate costs, inventory, sales or other metrics 🥇
Stock predictions - because there’s no such thing as too many tools to improve your personal finances!

This workshop is brought to you by the #1 rated coding bootcamp worldwide:Le Wagon emerged in 2013 as one of the first tech bootcamps in France, offering web development and data science programs. Now, it has grown to a robust global community of tech talents with over 40 Le Wagon campuses in Amsterdam, Berlin, Lisbon, London, Melbourne, Mexico, Montreal, Singapore, São Paulo, Paris, and other cities worldwide.With this expansion, Le Wagon has helped over 15,000 developers, data scientists, designers, and entrepreneurs start their new careers in tech. Eight years on, the school continues to inspire tech aspirants to find their path in the industry.