@daansan_ml
David Andrés 🤖📈🐍
11 months
Prophet is an open-source library developed by Facebook for Time Series Forecasting and has many advantages. Find 6️⃣ of them below 🧵 👇
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@daansan_ml
David Andrés 🤖📈🐍
11 months
1️⃣ Ease of use: Prophet is designed to make time series forecasting accessible to everyone, regardless of their expertise. With its simple and intuitive API, you can quickly harness the power of forecasting without getting lost in complex algorithms.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
2️⃣ Automatic feature selection: Prophet automatically detects and incorporates crucial features like seasonality, trend changes, and holidays.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
3️⃣ Flexibility: Whether you're dealing with hourly, daily, weekly, or monthly data, Prophet has got you covered. It can also handle missing values and outliers with ease, making it a versatile tool for diverse forecasting tasks.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
4️⃣ Uncertainty estimation: Prophet goes beyond point estimates and provides uncertainty estimation through prediction intervals. This helps you understand the range of possible outcomes and quantify the uncertainty associated with your forecasts.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
5️⃣ Model interpretability: Gain valuable insights into your time series! Prophet allows you to inspect and understand the underlying components of your forecast. Uncover trends, seasonality patterns, and the impact of holidays to make informed decisions.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
6️⃣ Scalability: Big data? No problem! Prophet, built on Stan, a probabilistic programming language, can handle millions of observations efficiently. It's lightning-fast, making it suitable for both small and large-scale forecasting tasks.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
However, Prophet might not be the best fit for every scenario. 👉 Consider your specific needs and requirements before choosing a forecasting tool.
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@daansan_ml
David Andrés 🤖📈🐍
11 months
Check my first article about Facebook Prophet to learn more about it 👇
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@daansan_ml
David Andrés 🤖📈🐍
11 months
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@freest_man
Sasi 📊📈
11 months
@daansan_ml Thanks for writing this David
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@daansan_ml
David Andrés 🤖📈🐍
11 months
@freest_man Glad you liked it🙂
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@itsafiz
Afiz ⚡️
11 months
@daansan_ml This is interesting!
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@daansan_ml
David Andrés 🤖📈🐍
11 months
@itsafiz Thank you Afiz 🙂
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@avikumart_
Avi Kumar Talaviya
11 months
@daansan_ml Really cool! do explore neural prophet as well it's made of an advanced models
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@daansan_ml
David Andrés 🤖📈🐍
11 months
@avikumart_ Yes, it is in my to-do list :) Thanks for the suggestion Avi!
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@LegaYcc
:) Soldier_Son🧑‍💻
10 months
@daansan_ml 🙌mr Tsa 👏👏👏
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@daansan_ml
David Andrés 🤖📈🐍
10 months
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@ginobass
Gino Montenegro
10 months
@daansan_ml Thanks, David.
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@Roshanpuri87
A watcher
10 months
@daansan_ml easy to use, does excellent job for in sample forecast. out-of-sample forecast ?? there are better tools
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