List: Machine Learning | Curated by Gustavo R Santos

Feb 22, 2025
49 stories
2 saves
Machine Learning
In
The Pythoneers
by
Abhay Parashar
How to Explain Each Core Machine Learning Model in an InterviewFrom Regression to Clustering to CNNs: A Brief Guide to 25+ Machine Learning Models
3d ago
4
3d ago
4
In
TDS Archive
by
Samy Baladram
Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for BeginnersHow underfitting and overfitting fight over your models
Nov 25, 2024
1
Nov 25, 2024
1
In
Python in Plain English
by
Sangeeth Joseph - The AI dev
5 Intermediate Python Project Ideas that will work in the real world.Good project Ideas in python are always a thing to look at!
Aug 21, 2024
6
Aug 21, 2024
6
In
Artificial Intelligence in Plain English
by
Simranjeet Singh
Top 3 Data Science Projects for a High-Paying Job in 2025!Add these 3 Data Science Projects in your resume and get high paying job in 2025 as Data Scientist or ML Engineer in FAANG or other…
Oct 26, 2024
1
Oct 26, 2024
1
In
Data Hackers
by
Edson Junior
Probability Calibration: Como e Por Que Calibrar as Probabilidades em Machine LearningO seu modelo pode estar gerando probabilidades surreais e você nem sonha com isso
Oct 30, 2024
2
Oct 30, 2024
2
In
TDS Archive
by
Samuele Mazzanti
Causality in ML Models: Introducing Monotonic ConstraintsMonotonic constraints are key to making machine learning models actionable, yet they are still quite unused
Sep 6, 2024
13
Sep 6, 2024
13
Gen. Devin DL.
Scikit-plot Making Machine Learning Model Visualization Easierscikit-learn (sklearn) is a common machine learning library in the Python environment, containing popular classification, regression, and…
Dec 15, 2023
Dec 15, 2023
In
TDS Archive
by
Peng Qian
Scikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib code
Mar 21, 2024
4
Mar 21, 2024
4
In
TDS Archive
by
Samuele Mazzanti
“Approximate-Predictions” Make Feature Selection Radically FasterFeature selection is so slow because it requires the creation of many models. Find out how to make it blazingly faster thanks to…
Nov 17, 2023
23
Nov 17, 2023
23
In
TDS Archive
by
Bex T.
130 ML Tricks And Resources Curated Carefully From 3 Years (Plus Free eBook)Each one is worth your time
Aug 1, 2023
17
Aug 1, 2023
17
In
TDS Archive
by
Khuyen Tran
Stop Hard Coding in a Data Science Project — Use Config Files InsteadAnd How to Efficiently Interact with Config Files in Python
May 26, 2023
32
May 26, 2023
32
In
TDS Archive
by
Louis Chan
Understanding Gradient Boosting: A Data Scientist’s GuideDiscover the power of gradient boosting in this comprehensive guide for data scientists. Learn about weak learners, additive models, loss…
Feb 7, 2023
3
Feb 7, 2023
3
In
TDS Archive
by
Louis Chan
SHAP: Explain Any Machine Learning Model in PythonYour Comprehensive Guide to SHAP, TreeSHAP, and DeepSHAP
Jan 11, 2023
3
Jan 11, 2023
3
In
TDS Archive
by
Bex T.
How to Perform Univariate Outlier Detection in Python for Machine LearningUnivariate outlier detection, clearly explained
Feb 6, 2023
Feb 6, 2023
In
TDS Archive
by
Bex T.
6 New Booming Data Science Libraries You Must Learn To Boost Your Skill Set in 2023Data science isn't just Pandas, NumPy, and Scikit-learn anymore
Jan 9, 2023
8
Jan 9, 2023
8
In
TDS Archive
by
Marco Peixeiro
A Practical Guide to Feature Selection Using SklearnA hands-on tutorial on how to select the best features for your model using Python and scikit-learn
Sep 27, 2022
1
Sep 27, 2022
1
In
TDS Archive
by
Marco Peixeiro
A Practical Guide to Feature Selection Using SklearnA hands-on tutorial on how to select the best features for your model using Python and scikit-learn
Sep 27, 2022
1
Sep 27, 2022
1
In
TDS Archive
by
Conor O'Sullivan
SHAP for Categorical FeaturesAdding up SHAP values of categorical features that have been transformed with one-hot encodings
Jun 21, 2022
5
Jun 21, 2022
5
In
TDS Archive
by
Félix Revert
Why you should learn CatBoost nowCatBoost is changing the game of Machine Learning forever, for the better.
May 18, 2020
5
May 18, 2020
5
In
TDS Archive
by
Charu Makhijani
Explainable AI: Unfold the BlackboxBuild trust in machine learning with XAI, Guide to SHAP & SHapley Values
May 26, 2022
3
May 26, 2022
3