[Feed] 2021.07.25

 

https://towardsdatascience.com/from-prediction-to-action-how-to-learn-optimal-policies-from-data-part-1-1edbfdcb725d

From Prediction to Action — How to Learn Optimal Policies From Data (Part 1)

From Prediction to Action - How to learn optimal policies from data

part 1. The problem definition

part 2. Create a dataset

part 3. Estimate the outcome of any policy

part 4. Find an optimal policy

 

----------------------------------------------------------------------------------------------------------------

 

https://towardsdatascience.com/sentiment-engagement-analysis-from-your-slack-data-11f7ff995b62

Sentiment & Engagement Analysis from your Slack data

 

Slack API 를 사용해서 할 수 있다는 것만 추출

 

----------------------------------------------------------------------------------------------------------------

 

https://towardsdatascience.com/studying-up-for-the-tokyo-2021-olympics-with-sql-719a0ae3779b

Studying up for the Tokyo 2021 Olympics with SQL

올림픽엔 큰 관심없지만, 데이터가 올라왔다는 정도. 이런것도 하구나 정도.

 

----------------------------------------------------------------------------------------------------------------

 

https://towardsdatascience.com/pca-principal-component-analysis-how-to-get-superior-results-with-fewer-dimensions-7a70e8ab798c

PCA: Principal Component Analysis — How to Get Superior Results with Fewer Dimensions?

Machine Learning interactive chart 가 매우 대단하다.

추가로 이러한 사이트를 발견

https://solclover.com/

Saul Dobilas – Medium

interactive chart 는 matplotlib.plotly 로 구성됨.

원본 링크 : https://solclover.com/

PCA : 각 후속 차원에서 최대 분산량을 캡쳐할 수 있는 방식으로 데이터를 변환

dimension 에 따라 커버링 되는 분산

PCA 에 대한 간략한 설명과 멋진 interactive chart 가 좋았어.

 

----------------------------------------------------------------------------------------------------------------

 

https://towardsdatascience.com/develop-an-interactive-ui-for-a-microservice-using-streamlit-5f8ef59edadd

Develop an Interactive UI for a Microservice using Streamlit

 

frontend prototype 까지도 파이썬으로 모두 가능하겠네

 

https://streamlit.io/

Streamlit • The fastest way to build and share data apps

 

----------------------------------------------------------------------------------------------------------------