@ola_supports Thanks for the quick response. I have shared my details on DM. Hope it is resolved at the earliest. Also, it would be great if you can share Incident Ticket Number with me for transperency and tracking. Hoping for your support and understanding.
With time, @Olacabs have become my preferred app to book cabs. But today was an horrendous experience.
Firstly, the driver added extra fees for parking and state tax, which were not part of the original fare. He was disrespectful and angry when I challenged him.
Great explainer video about the Multiple Comparisons Problem that helps one to develop an intuitive understanding of the mathematical concepts related to Data Dredging or p-hacking.
https://t.co/Pyk0hvc3K4
Great Article on how a #TikTok video led to the disruption of thousands of scientific studies by violating one of the most sacrosanct assumptions in Statistical Analysis - Random Sampling.
#Stats
https://t.co/k5l6ZnvDaI
Great article about how 2021 Nobel Prize Winners in Economics used #statistics to answer key policy questions and led the credibility revolution in Economics.
https://t.co/kBOHTQdfZN via @FT
Great tutorial by @brodriguesco on building serverless dashboards with #R, #crosstalk, and #htmlwidgets.
Primary benefit of serverless dashboards is that one can share results in an easy and rapid manner with end-users.
https://t.co/bdXngliQtY
#30daysofml with @kaggle was absolute fun.
During these 30 days, I got an opportunity to learn and implement my understandings of topics ranging from the basics of Python to advanced ML techniques like Model Blending & Stacking.
This was the best blend of learning styles.
New things that I learned and want to explore more:
- Target Encoding
- Model Blending and Stacking
- Pipelines
- AutoML
- Other ensemble models like LightGBM, Tensorflow, CatBoost, etc.
#30daysofml
Most of the tutorials and books related to ARIMAX are just limited to one predictor. Even the OG Prof. Hyndman's book.
There is no guide on how to deal with multiple predictors and handling their seasonality and forecasting their values in an ARIMAX model.