Discover and read the best of Twitter Threads about #MLFlow
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90% of data scientists don't track their experiments.
Here's how to fix that with one line of code... 🧵
#datascience
Here's how to fix that with one line of code... 🧵
#datascience
Experiments are the lifeblood of a data scientist.
They help you answer questions like:
Which model performed best?
Which model is actively deployed?
When is the last time we updated the model?
But 90% of data scientist are just saving a model file and thinking their finished
They help you answer questions like:
Which model performed best?
Which model is actively deployed?
When is the last time we updated the model?
But 90% of data scientist are just saving a model file and thinking their finished
BIG ANNOUNCEMENT: I'm beyond excited to announce that in 5 days, I'm launching my brand new course- The #Python for Machine Learning & API's Course.
This course will transform your #career.
Here's what's inside... 🧵
#datascience #course
This course will transform your #career.
Here's what's inside... 🧵
#datascience #course
This launch marks the culmination of 2 years of research...
It covers The 6 Top #Python libraries for machine learning and production:
It covers The 6 Top #Python libraries for machine learning and production:
Over the past 3 years, I've been writing Python code daily.
And this coming Thursday, I'm excited to share what I've learned. 🧵
#datascience #career #python #rstats
And this coming Thursday, I'm excited to share what I've learned. 🧵
#datascience #career #python #rstats
Most of you know me as an #R guy. And I 1000% love R. ❤️
But I've also grown over the past 10+ years that I've been practicing data science as a data scientist, as a consultant, and as an educator.
But I've also grown over the past 10+ years that I've been practicing data science as a data scientist, as a consultant, and as an educator.
What I've come to realize is that no one language is perfect.
Each has its strengths. And weaknesses.
And more often than not we get caught up in debating things that **don't** really matter...
Like R vs Python.
Each has its strengths. And weaknesses.
And more often than not we get caught up in debating things that **don't** really matter...
Like R vs Python.
