List: Individual project | Curated by Kasper Groes Albin Ludvigsen

Mar 3, 2022

10 stories

Individual project 
In
TDS Archive
by
Dario Radečić
Time Series From Scratch — Introduction to Time Series with PandasPart 2 of the Time Series from Scratch Series — Learn how to work with datetimes, how to apply basic time series operations and the ins…
Jul 10, 2021
4
Jul 10, 2021
4
In
TDS Archive
by
Dario Radečić
Time Series From Scratch — Train/Test Splits and Evaluation MetricsPart 7 of Time Series from Scratch Series — Everything you need to know before modeling time series data. Learn how to split and evaluate…
Jul 26, 2021
4
Jul 26, 2021
4
In
TDS Archive
by
Syafiq Kamarul Azman
Building Efficient Custom Datasets in PyTorchDiscover PyTorch’s hidden gem: the Dataset class, a user-friendly, scalable and performant dataset container
May 15, 2019
3
May 15, 2019
3
In
TDS Archive
by
Isaac Godfried
Transfer learning for time series forecastingThe use of transfer learning has been highly successful in both CV and NLP. Can transfer learning conquer the time series frontier?
Dec 12, 2020
Dec 12, 2020
vatvengers
Choosing the appropriate correlation coefficientAn overview of the concept of correlation and its usage in data science 
projects.
Jan 27, 2022
Jan 27, 2022
In
Teads Engineering
by
Benjamin DAVY
Estimating AWS EC2 Instances Power ConsumptionTL;DR We simulated several kinds of workloads and measured memory and CPU consumption on five bare metal instances.
Mar 25, 2021
3
Mar 25, 2021
3
John Murray
Your Software’s Carbon FootprintIs your tech-stack environmentally responsible?
Sep 25, 2019
Sep 25, 2019
In
TDS Archive
by
Srikanth Machiraju
Why data drift detection is important and how do you automate it in 5 simple stepsThe fundamental assumption in developing any machine learning model is that the data that is used to train the model mimics the real-world…
Nov 1, 2021
1
Nov 1, 2021
1
In
Geek Culture
by
Pierre-Louis Bescond
A deep-dive into Andrew NG data-centric competitionEverything you need to know regarding this new type of challenge, focusing on Data Quality rather than models’ performance
Jul 22, 2021
2
Jul 22, 2021
2
In
TDS Archive
by
Theodoros Ntakouris
The Time Series Transformer
Jan 26, 2021
13
Jan 26, 2021
13

Individual project

Time Series From Scratch — Introduction to Time Series with Pandas

Part 2 of the Time Series from Scratch Series — Learn how to work with datetimes, how to apply basic time series operations and the ins…

Time Series From Scratch — Train/Test Splits and Evaluation Metrics

Part 7 of Time Series from Scratch Series — Everything you need to know before modeling time series data. Learn how to split and evaluate…

Building Efficient Custom Datasets in PyTorch

Discover PyTorch’s hidden gem: the Dataset class, a user-friendly, scalable and performant dataset container

Transfer learning for time series forecasting

The use of transfer learning has been highly successful in both CV and NLP. Can transfer learning conquer the time series frontier?

Choosing the appropriate correlation coefficient

An overview of the concept of correlation and its usage in data science projects.

Estimating AWS EC2 Instances Power Consumption

TL;DR We simulated several kinds of workloads and measured memory and CPU consumption on five bare metal instances.

Your Software’s Carbon Footprint

Is your tech-stack environmentally responsible?

Why data drift detection is important and how do you automate it in 5 simple steps

The fundamental assumption in developing any machine learning model is that the data that is used to train the model mimics the real-world…

A deep-dive into Andrew NG data-centric competition

Everything you need to know regarding this new type of challenge, focusing on Data Quality rather than models’ performance

The Time Series Transformer

Kasper Groes Albin Ludvigsen