Sarbottam Thapa Magar

[Sarbottam Thapa Magar @SarbottamM]

@gallamine Thank you, William.

[Sarbottam Thapa Magar @SarbottamM]

Day 64-66 of #66DaysOfData

In the final days of the challenge revisited the end-to-end model building process and learn quite a lot going deep into it with a different perspective and confidence.

It was a great experience learning things for building projects.
#DataScience

[Sarbottam Thapa Magar @SarbottamM]

Day 61-63 of #66DaysOfData

Went through the deployment for the classification model and refactor the project with flask Blueprint for better structure. Also added test case in the GitHub Actions workflow.

Happy Learning!!!
#DataScience #MachineLearning
https://t.co/Jb02xgmXiE

[Sarbottam Thapa Magar @SarbottamM]

Day 60 of #66DaysOfData

Today, went with a video on model prediction validation using target shuffling.
As I'm coming towards the end of the challenge I'll be now focusing on revising the things I learned throughout the challenge.

Happy Learning!!!
https://t.co/6vbzQRf9tf

[Sarbottam Thapa Magar @SarbottamM]

Day 59 of #66DaysOfData

Today, work through setting up continuous integration using GitHub Actions. Used Makefile (to make your life easier) for test automation.

Happy Learning!!!

#DataScience #MachineLearning

[Sarbottam Thapa Magar @SarbottamM]

Day 57-58 of #66DaysOfData

"Why do you even need a test when everything is working fine?". A tiny mistake in the configuration file can crash the whole system.
So, I wrote unit tests for each of the functions and for the configuration file which can alert you beforehand.

[Sarbottam Thapa Magar @SarbottamM]

Day 56 of #66DaysOfData
"Don't feel like you've to learn everything you've ever heard of in data science in order to be a data scientist." - Renee Teate.

Went with the data science podcast from Datacamp.
Happy Learning!!!

#DataScience
https://t.co/soFaGNEHmS

[Sarbottam Thapa Magar @SarbottamM]

Day 55 of #66DaysOfData
Came across tox, a library to automate and standardize testing in python. Walked through the article to set it on a windows machine.

Happy Learning!!!

#DataScience #MachineLearning
https://t.co/UYmlnYraLV

[Sarbottam Thapa Magar @SarbottamM]

Day 54 of #66DaysOfData

Went through a quick article on using Github actions for CI/CD to deploy Serverless application.

Happy Learning!!!

https://t.co/OcO558MNKX

[Sarbottam Thapa Magar @SarbottamM]

Day 53 of #66DaysOfData

Went through the article which highlights the cause of the error and shows possible as well as the best way to resolve it. Certainly, will save a lot of time.

Happy Learning!!!

https://t.co/LcjjwL3mgj

[Sarbottam Thapa Magar @SarbottamM]

Day 52 of #66DaysOfData
Wrote a test case for the RESTful API endpoints. Working towards making the code ready for production.
Happy Learning!!!

#Datascience #Machinelearning

[Sarbottam Thapa Magar @SarbottamM]

Day 51 of #66DaysOfData

Sharing my Data Scientist in Python path from Dataquest. The main takeaways were asking the right questions to the data and when to pivot to the relevant question in the case the prior question cannot be answered using the specific data.
Happy Learning!

[Sarbottam Thapa Magar @SarbottamM]

Day 50 of #66DaysOfData

Today, I would like to share my accomplishment: APIs, and Web scraping from Dataquest. Learned about working with public APIs and web scraping tools for collecting the required dataset for analysis.

Happy Learning!!!

#DataScience

[Sarbottam Thapa Magar @SarbottamM]

Day 49 of #66DaysOfData
Went with a video on Reinforcement learning. Nice overview of different techniques used in the area.
Happy Learning!!!

https://t.co/4RrkhhiV2b

[Sarbottam Thapa Magar @SarbottamM]

Day 48 of #66DaysOfData

Went with a short video on Maximum likelihood from StatQuest.
https://t.co/qbPrWJT4ra

[Sarbottam Thapa Magar @SarbottamM]

Day 47 of #66DaysOfData
Built the Naive Bayes classifier from scratch out of curiosity. Knowing how models work under the hood is important for model interpretability.
Happy Learning!!!

[Sarbottam Thapa Magar @SarbottamM]

Day 46 of #66DaysOfData

Worked on data preprocessing step for spam corpus data from Spamassassin.

And as a usual light workout for the mind and body.

Happy Learning!!!

[Sarbottam Thapa Magar @SarbottamM]

Day 45 of #66DaysOfData

Played around and made a word cloud with image masking in python from the spam email corpus. Exploring new things is always motivating and keeps you refreshed.

Happy Learning!!!
#DataScience

[Sarbottam Thapa Magar @SarbottamM]

Day 44 of #66DaysOfData

Went through the article about Data scientist's common pitfalls.
Happy Learning!!!

https://t.co/oLm9mv5KZw

[Sarbottam Thapa Magar @SarbottamM]

Day 43 of #66DaysOfData
Finally, the project interval prediction for vehicle price is public through the link below. The model is served as Serverless RESTful API through AWS using Zappa. Feel free to try it out.

Happy Learning!!!

https://t.co/32ZC8LFmaA