Sumit Shetty

[Rajarshi Shome @shome_rajarshi]

Bhailog please take care great care of your health.

Do din se hospital ja raha.

People are sick and their loved ones are running around with immense anxiety.

Health gaya to sab gaya.

Baki sab zero ho jayega agar health gaya.

Kaunsi job? Kaisi stock market? Kaheka business if a person is admitted with a problem.

Hum jaiso ko samajh bhi nei aata hai ke ho kya raha hai in a hospital.

Do everything possible to avoid the hospital.

Apne Mindless habits ko question karo and take your health very very seriously.

Portfolio me paisa kaam dalo.

Invest in a gym, a good nutrition coach and improve your lifestyle.

Do everything possible to minimise the possibility of going to a hospital.

Take care 🙏

[Sumit Shetty @SumitShetty19]

@KenJee_DS Hi Ken sir, you can try out with this one.
https://t.co/0LlYUGakwh

[Ken Jee @KenJee_DS]

Day 19 of #66DaysOfData!

Relaxing a little bit today, but will be spending some time learning more about Docker. This is something I really would like to have a better understanding of!

Please let me know any good resources you've found!

[Sumit Shetty @SumitShetty19]

@_paulo_lopez_ Really, it's a great article!!!

[Sumit Shetty @SumitShetty19]

@KenJee_DS This is day 11 of #66daysofdata initiative.

[Ken Jee @KenJee_DS]

Day 11 of #66DaysOfData!
Today will be all about application!
I will be:
- Brushing up on basic regression techniques (Hands On ML Book)
- Applying pipelines and regression to the housing prices dataset on kaggle!

[Null Hypothesis @trainandtest]

Day 11 of #66daysofdata
- Completed Reading Chap 4 of Hands on Machine Learning. Covered concepts such as Bias variance trade off, regularisation and regression formulae
- Started working on the Titanic Dataset

#100DaysOfCode #100DaysOfMLCode #MachineLearning #DataScience

[Ken Jee @KenJee_DS]

Day 10 of #66DaysOfData!
Today I will be reviewing:
- Basic Matplotlib/ seaborn functionality (kaggle micro course)
- Simple classification models (Hands on Machine learning)

[Ken Jee @KenJee_DS]

Day 9 of the #66DaysOfData!
Yesterday life got in the way so I only got about 15 minutes of pipeline study in.
Today I will be:
- Reviewing more pipeline docs that people graciously sent me
- Taking the pandas kaggle micro course!

[Ken Jee @KenJee_DS]

Remember, everyone has lulls and low motivation days. If you just were able to squeak out your 5 minutes, be proud that you got that done. No point kicking yourself while you're down #66daysofdata!

[Pabs Lopez @pabs_lopez]

Day 5️⃣ of #66daysofdata
I listed to I'm hooked on AI for Good: clean water access in Africa on @Castbox_fm. Check out this episode. #podcasts #audiobooks #castbox https://t.co/LQlGX1JMIL
Also, continued working on Hands-on Machine Learning notebook on ch 2.

[Null Hypothesis @trainandtest]

@Data_manc @matplotlib Hey! It’s a campaign initiative by @KenJee_DS where you’ve to basically devote 5 minutes to data science everyday in order to create a habit for a lifetime. You can join his discord channel and check out his YouTube channel for some cool stuff!

[Ken Jee @KenJee_DS]

Day 6 of #66DaysOfData!
Today I will be working my way through:
- The remainder of the Intro to Machine learning Kaggle micro course.
- Understanding datetime formats a bit better
- Building out a study plan for next week

[Ken Jee @KenJee_DS]

Day 5 of #66DaysOfData!
Time to play with some pandas 🐼

To Do:
- Go through first two modules of the intro to machine learning kaggle micro course
- Work my way through the pandas "User Guide" in the package documentation
(resources in reply)

[Ken Jee @KenJee_DS]

I will also be doing the following:
- Reading the first chapter of Hands-On Machine learning
- Exploring basic python using the Housing Price data set
- Presenting to @DataScienceNIG on opportunities in data science!
#66daysofdata

[Ken Jee @KenJee_DS]

Day 2 of #66DaysOfData!
Today I am finishing up the @kaggle python micro course!

I didn't get to all of the dictionary questions and external libraries so I will finish those today. I still got my 5 minutes + of studying in though!
(continued in thread)

[Ken Jee @KenJee_DS]

Had an awesome interview with Tina Huang who recently landed a data science job at a FANG company. Highly recommend listening to her advice on how to work "smarter not harder" in this process!
https://t.co/DoCor6XwQb

[Jaemin Lee @ImportData1]

📅Day 1 of #66daysofdata

Domain knowledge is extremely important in the data world. As I am quite new to the function I am in with my current role, I am studying basic accounting.

Terms I learned:
- Assets
- Liabilities
- Equities

A huge thanks to @KenJee_DS for starting this!

[Chris Yim @Chris_Yim_DS]

Following @KenJee_DS doing #66daysofdata. Trying out the kaggle python micro-courses to re-establish some good data habits! Machines shouldn't be the only thing learning around here.

[Ken Jee @KenJee_DS]

Had a successful day one! of #66daysofdata

Some things I learned / had forgotten:
- help() is so useful!
- I've always struggled with List comprehensions. They are very useful for data science, and I will be using them more now that I am more comfortable with how they work!