It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1
Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.
Over the last months @mmkaradeniz and I made a new version. We launched it last night:
It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1
Side-by-side screenshots of the old and new version. /2
Additionally it shows the account ID. Useful when making screenshots and accounts change their screen name. /5
It gives a quick overview when an account is active and at the same time allows to drill deeper into the data. /6
It seems like I don't link out of Twitter often any more. /9
I love to reply to myself (threads!). But I also retweet myself often (Look at this awesome Tweet I made!). Finally, I mostly quote myself (Well.). /10
Much easier to understand things. /11
https://t.co/9CycLTc85m
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Here is a simple example of a machine learning model.
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
It is a good example of coding, what is the model?
— Freddy Rojas Cama (@freddyrojascama) February 1, 2021