List: Reading list | Curated by David B Rosen (PhD)

Jan 21, 2025
140 stories
Reading list
PURRFECT SOFTWARE LIMITED
10 Uncommon but extremely useful Python LibrariesDiscover the power of 10 lesser-known Python libraries. From time series to data visualization, upgrade your data science toolkit now.
Jan 17
Jan 17
PURRFECT SOFTWARE LIMITED
8 Uncommon But Extremely Useful Python LibrariesUnlock new capabilities with these lesser-known but highly effective Python libraries
Nov 24, 2024
5
Nov 24, 2024
5
In
Stackademic
by
PURRFECT SOFTWARE LIMITED
9 Open Source Projects Every Developer Needs to BookmarkDiscover 9 powerful open-source tools to enhance workflows,boost productivity, and streamline project management for developers of all…
Dec 3, 2024
11
Dec 3, 2024
11
In
TDS Archive
by
Samuele Mazzanti
Why You Should Never Use Cross-ValidationIn real-world applications, using randomized cross-validation is always a bad choice. Here is why.
Mar 27, 2024
41
Mar 27, 2024
41
In
DataDrivenInvestor
by
Avi Chawla
6 Things That You Probably Didn’t Know You Could Do with PandasSome hidden treasures of Pandas library.
Mar 12, 2024
3
Mar 12, 2024
3
In
Level Up Coding
by
Mandar Karhade, MD. PhD.
Run Pandas 150x faster with 1 line of codeJust add %load_ext cudf.pandas in jupyter notebooks
Nov 9, 2023
5
Nov 9, 2023
5
In
TDS Archive
by
Samuele Mazzanti
Black-Box models are actually more explainable than a Logistic RegressionSHAP values are not comprehensible. But, starting from them, it is possible to express a model choices in terms of impact on probability…
Sep 21, 2019
11
Sep 21, 2019
11
Bozhong Liu
Three effective ways to deal with domain gap and imbalanced data in multi-class classificationHow to deal with domain gap and imbalanced data in a large dataset.
May 28, 2021
May 28, 2021
In
Heartbeat
by
Kris Ograbek
Cost-Sensitive Learning for Imbalanced DataTraining good models that deal with imbalanced data is challenging. Cost-sensitive training is one way of doing it.
Oct 8, 2021
Oct 8, 2021
Mridul Katta
Handling Imbalanced DatasetImbalanced datasets are normal in real life. This article talks about a few good strategies to create & evaluate the balance in the…
Aug 10, 2021
Aug 10, 2021
In
TDS Archive
by
Susan Currie Sivek, Ph.D.
Balancing Act: Classification with Imbalanced DataHelp your data find balance to make sure you create a quality classification model
Nov 4, 2021
Nov 4, 2021
In
Insight
by
Insight
Visualizing Machine Learning Thresholds to Make Better Business DecisionsSlater Stich is an Insight alum and was previously a Staff Data Scientist at Square. He is currently a Vice President at Valor Equity…
Oct 9, 2015
1
Oct 9, 2015
1
 This story is no longer available
 This story is no longer available
In
TDS Archive
by
Bex T.
A Complete SHAP Tutorial: How to Explain Any Black-box ML Model in PythonExplain any black-box model to non-technical people
Oct 11, 2022
6
Oct 11, 2022
6
In
Towards AI
by
Ulyana Tkachenko
A Simple Adjustment Improves Out-of-Distribution Detection for Any ClassifierAuthors: Ulyana Tkachenko, Jonas Mueller, Curtis G. Northcutt
Oct 12, 2022
Oct 12, 2022
In
TDS Archive
by
Raj Sangani
A Comprehensive Guide on Model Calibration: What, When, and HowPart 1: Learn about calibrating machine learning models to obtain sensible and interpretable probabilities as outputs
Sep 12, 2022
8
Sep 12, 2022
8
In
Geek Culture
by
Devansh
Why Tree-Based Models Beat Deep Learning on Tabular DataA much-needed reality check for AI Researchers and Engineers caught up in the hype around Deep Learning
Aug 27, 2022
5
Aug 27, 2022
5
In
TDS Archive
by
The PyCoach
5 Less-Known Python Libraries That Can Help in Your Next Data Science ProjectReduce time in your data science workflow with these libraries.
Aug 3, 2022
5
Aug 3, 2022
5
In
TDS Archive
by
Samuele Mazzanti
You Can Compute ROC Curve Also for Regression ModelsThey probably told you that Area under ROC curve cannot be computed for a continuous target variable. Well, they were wrong. Here is how to…
Sep 16, 2021
5
Sep 16, 2021
5