Share this page!

David Andrés 🤖📈🐍 Profile picture
Twitter logo
Dec 13 • 7 tweets • 3 min read
Did you know about Facebook Prophet?

It's an open-source tool for forecasting Time Series data, and it's super easy to use!

Find out more about it!

🧵 👇

#DataScience #MachineLearning #Python #Facebook #AI
Facebook Prophet can handle missing data and changes in trends, which are common in time series data.
One of the best things about Facebook Prophet is its flexibility.

You can fine-tune your forecasts with a variety of parameters.
If you're new to time series forecasting, you should definitely check out Facebook Prophet.

It's user-friendly and has great documentation.
Are you a Python or R user? Good news - Facebook Prophet is available for both!

Try it out and see how it can improve your time series forecasting.
Here you can find their website:

facebook.github.io/prophet/
Please 🔁Retweet (the first tweet of the thread) if you found it useful!

🔔 Follow me @daansan_ml if you are interested in:

🐍 #Python
📊 #DataScience
📈 #TimeSeries
🤖 #MachineLearning

Thanks! 😉

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with David Andrés 🤖📈🐍

David Andrés 🤖📈🐍 Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @daansan_ml

David Andrés 🤖📈🐍 Profile picture
Dec 12
Time Series can be used for a variety of applications.

Here you have 5️⃣ applications or possible projects where Time Series Forecasting is key!

#DataScience #MachineLearning #Python #AI
1️⃣ Forecasting demand for a product or service:

This could involve collecting historical data on the quantity of a product or service sold, and using time series techniques to forecast future demand.
2️⃣ Predicting stock prices:

This could involve collecting historical data on the closing price of a stock, and using a time series model to make predictions about future prices.
Read 7 tweets
David Andrés 🤖📈🐍 Profile picture
Dec 7
What is the main difference between ARCH and GARCH models? 🤔

Find it out here!
🧵 👇

#python #machinelearning #timeseries #datascience Image
🔎 GARCH stands for "Generalized Autoregressive Conditional Heteroskedasticity".

It is a type of time-series model that is commonly used in finance to model the volatility of asset returns.

It is a generalisation of the ARCH model.

But why a generalisation? 👇 🤔
It extends the capabilities of ARCH models. ⚡

It allows for the inclusion of additional variables and terms in the model.

This can improve its accuracy and ability to capture the dynamics of the time series. 🤩

Let's see how 👇
Read 6 tweets
David Andrés 🤖📈🐍 Profile picture
Dec 6
5️⃣ YouTube playlists / videos to learn Time Series! ▶️

Check them out!

🧵 👇👇

#Python #MachineLearning #DataScience
1️⃣ "Time Series Analysis" by ritvikmath

My personal top 1 recommendation for learning Time Series.

A great combination of theory and code 👌

youtube.com/playlist?list=…
2️⃣ "Time Series" by Aric LaBarr

👍 Good variety of models. Short videos.

👎 Purely theoretical, no code.

youtube.com/playlist?list=…
Read 7 tweets
David Andrés 🤖📈🐍 Profile picture
Dec 5
Machine Learning and Deep Learning are key skills for a Data Scientist! 🔑 But also for Time Series! 📈

TOP 5️⃣ COURSES to learn about it 👇

👇👇👇👇👇
#python #datascience #ai
1️⃣ Start by learning the basics of Machine Learning with this fantastic course.

• Learn both supervised and unsupervised algorithms
• Get introduced to Neural Networks
• Find out about XGBoost

coursera.org/specialization…
2️⃣ Learn about Deep Learning:

• Neural Networks
• Convolutional Neural Networks (CNN)
• Sequence models (very useful for Time Series!)

coursera.org/specialization…
Read 7 tweets
David Andrés 🤖📈🐍 Profile picture
Dec 4
What is the difference between seasonality and cycle in Time Series? 🤔

🧵 👇

#Python #DataScience #MachineLearning Image
🔴Seasonality refers to regular patterns that occur at a specific frequency, often at a yearly, monthly or weekly interval.
For example:

• Retail sales tend to increase during the holiday season

• Electricity consumption tends to be higher in the summer months when people use air conditioning more often
Read 9 tweets
David Andrés 🤖📈🐍 Profile picture
Dec 1
ARCH can improve your ARIMA Time Series forecast!

Learn how 👇👇

A thread 🧵

#Python #MachineLearning #DataScience Image
We've seen that ARCH is a model to forecast the variance of a time series.

It is frequently used in situations in which there may be short periods of increased variation or volatility.
They were created for finance and econometric problems. 💸

But...
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

Send Email!

:(