John DeJesus

Education Data Scientist, Husband, Corny Father, Limit Breaker. Learning nonstop all day every day.

[John DeJesus @JohnnyData22]

Want to know how #schools, particularly the #schoolstaff, can leverage the power of #DataScience to solve their problems and save time?

I list some of the possibilities in my article here. #machinelearning #edtech #edtechchat
https://t.co/MpuO5Vcivp

[John DeJesus @JohnnyData22]

@wass1997 @TDataScience Thanks! I tried to keep it simple and refer to MS word since most likely everyone has access to that. In my team, we have a private wiki site for our documentation. If something similar to that exists publicly I am open to doing some examples there. Do you know if that exists?

[Harrison Kinsley @Sentdex]

I think a common feeling people have with programming is that everyone around them is better.

Like most of social media, what people show you is their best.

This is why I leave mistakes and overcoming them in videos. Mistakes and stupid ideas are normal in dev! You're normal.

[Bob Belderbos @bbelderbos]

Don't get stuck in tutorial paralysis, start building.

Yes, it's uncomfortable but you will learn so much more by deliberately applying what you learn to your specific needs.

Then use books, videos, etc in tandem to cement your learning.

[Russell Pollari @russ_poll]

We've learned a lot about what makes a good mentor SharpestMinds. Here are five key lessons:
👇👇👇

[John DeJesus @JohnnyData22]

Second guide on how to deal with missing data. This one focuses on MNAR (#Missing Not at Random) Data. Enjoy! #DataScience #MachineLearning #Analytics #missingdata #MNAR

https://t.co/cRsoo78ksn

[John DeJesus @JohnnyData22]

@davidktian Nope! Learned (and still learning) python while handling other major responsibilities.

[Andy Kriebel @VizWizBI]

#TableauTip: How to Create a Circle Timeline

A circle timeline or bubble timeline is a way to display a series of dates on a timeline with a measure used to size the circles and, optionally, another measure to color the circles.

https://t.co/ZaWfvi3pix

[John DeJesus @JohnnyData22]

Starting to write guides on how to deal with missing data. The first one is a guide on MCAR (#Missing Completely at Random) Data. Enjoy! #DataScience #MachineLearning #Analytics #missingdata #MCAR

https://t.co/56IKQ77Qza

[John DeJesus @JohnnyData22]

Written communication is key in sharing your awesome data science accomplishments and value! In this post, I share 12 examples with you of written communication needed in my career. #DataScience #Machinelearning #communication #writing
https://t.co/YikYnaBxZX

[Brydon Parker @parker_brydon]

Some interesting Text Classification Datasets Easily Available from @huggingface's datasets python package pulled out in the thread below, ordered by size.
(Thread)

[Russell Pollari @russ_poll]

We're hiring a full stack developer at @SharpestMindsAI. Looking for someone to work directly with me to help build and scale our mentorship platform. DM me for more info, and please share widely :)

https://t.co/Mn0jisNWEh

[Plotly @plotlygraphs]

📬Plotly is #hiring for the following positions:
͢͢➡️ Graphing Libraries Developer
➡️ Customer Success & Support Engineer
➡️ Director, Sales Engineering
https://t.co/ddX8JDAWVa
💖Join the team that provides the most downloaded, trusted framework for building #ML web apps.

[Jeremie Harris @jeremiecharris]

Build data science projects the same way founders build startups:

Be 👏 problem 👏 focused 👏

[Plotly @plotlygraphs]

ICYMI: What’s new in https://t.co/9dZWWVd8Ak 4.9
🎉Kaleido: Static image export with Ø dependencies
📆px Gantt charts with px.timeline()
💎Hexbin Tile Maps
📐More wide-format dateframe support

Read more: https://t.co/BiUQ0rZROw

[John DeJesus @JohnnyData22]

@tampapath Great! Happy this article was helpful

[John DeJesus @JohnnyData22]

Resending since I messed up first tweet of this. This is a reference guide I created of #MachineLearning metrics derived from the confusion matrix. Formulas + code included. #DataScience #python #metric #reference https://t.co/GvYGGYSO4J

[John DeJesus @JohnnyData22]

This is crazy and awesome!

[Plotly @plotlygraphs]

We’ve explored @OpenAI’s new #GPT3 API, and we are super impressed with its capabilities!

For example, you can write a simple description, and GPT-3 can automatically generate a bar chart📊 for you!

CC @gdb

[Plotly @plotlygraphs]

ICYMI, you can build an end-to-end summarization app with Dash and @huggingface’s transformers (DistilBART). With JupyterDash v0.3.0, you can even access the app directly in @GoogleColab and modify the source code on-the-fly!

Try it out: https://t.co/VEy3JQSuaM

CC @TimNovikoff

[Hugging Face @huggingface]

Eager to use our newly released PruneBERT models to leverage extremely sparse (>= 95% ) networks?

Check out our new collaboration with the @octoml & TVM team!

Get an instant 3x inference speedup from Dense to Sparse models! 🔥🚀https://t.co/e2clSVj3Vb

[John DeJesus @JohnnyData22]

Every aspiring #DataScientist should put something out into the world to show what they know and are capable of. In this post I share 7 reasons why they should #blog , some advice to get started, and articles related to starting a blog.
#MachineLearning https://t.co/cecnPhXgCV