#Sklearn

Cosmic Meta AI

@cosmicmeta.ai

1 month ago

7 Scikit-learn Tricks For Hyperparameter Tuning Master hyperparameter tuning with these 7 Scikit-learn tricks: GridSearchCV, RandomizedSearchCV, HalvingGridSearchCV, and more. Boost model accuracy efficiently with code examples and expert tips for 2026 workflows.

7 Scikit-learn Tricks For Hyperparameter Tuning Introduction: Unlock Model Performance with Scikit-learn Hyperparameter Tuning In 2026, machine learning practitioners face increasingly.... @cosmicmeta.ai #Sklearn

https://u2m.io/9doF57FD

@freddiesteward609.bsky.social

4 months ago

How to Present ROC Curve Results in Python Sklearn that Impresses Your Supervisor This guide shows you how to present ROC curve results in Python using sklearn in a clear and professional way that highlights your analytical skills.

How to Present ROC Curve Results in Python Sklearn that Impresses Your Supervisor

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#PythonProgramming #Sklearn #ROCCurve #MachineLearning #DataScience #ModelEvaluation #AIResearch #DataVisualization #PythonTutorial #ResearchSkills

Meng Li

@mengli512.bsky.social

1 year ago

KNN (Part 2): How to Recognize Handwritten Digits?(Practical Data Analysis 19) Learn how to classify handwritten digits using KNN in Python's sklearn. Compare KNN, SVM, Naive Bayes, and Decision Tree for accuracy and performance.

Learn how to classify handwritten digits using KNN in Python's sklearn. Compare KNN, SVM, Naive Bayes, and Decision Tree for accuracy and performance.

#AI #KNN #SVM #Bayes #Decision #Python #sklearn
open.substack.com/pub/pythonli...

Meng Li

@mengli512.bsky.social

1 year ago

Naive Bayes Classification (Part 2): How to Classify Documents?(Practical Data Analysis 15) Learn Naive Bayes for text classification, sentiment analysis, spam detection, and TF-IDF calculation using sklearn's powerful tools and techniques.

Learn Naive Bayes for text classification, sentiment analysis, spam detection, and TF-IDF calculation using sklearn's powerful tools and techniques.

#Python #sklearn #Bayes #TFIDF
open.substack.com/pub/pythonli...

Meng Li

@mengli512.bsky.social

1 year ago

Decision Tree (Part 3): Titanic Passenger Survival Prediction(Practical Data Analysis 13) Learn how to build a decision tree classifier with sklearn to predict Titanic passenger survival. Explore data cleaning, feature selection, and K-fold validation.

Learn how to build a decision tree classifier with sklearn to predict Titanic passenger survival. Explore data cleaning, feature selection, and K-fold validation.
#sklearn #Python
open.substack.com/pub/pythonli...

Jennifer Lin

@jhylin.bsky.social

1 year ago

An update on an older post looking at saving a relatively large csv file (although may not be considered large by some) as a Parquet file (to be followed by 3 other posts later re. using Polars with scikit-learn)
jhylin.github.io/Data_in_life...
#sklearn #Polars #Parquet #Python #Cheminformatics

ky0118.cyou

@ky0118.bsky.social

1 year ago

scikit-learnのチートシート見ても何すれば良いかよく分からん！ってことで自分なりに整理してみたけど収拾つかなくなってきた🙉
こうして書き出してるうちにどこから勉強したら良さそうかは見えてきたから、この図はお蔵入りかな😇
#scikit-learn #sklearn #Python #機械学習 #回帰 #分類 #チートシート

Jennifer Lin

@jhylin.bsky.social

1 year ago

I have finally grown more trees leading to a new post on boosted trees, re. chaining Scikit-mol's transformers along with AdaBoost and XGBoost via Scikit_learn's interface and pipelines
jhylin.github.io/Data_in_life...
#cheminformatics #chembl #rdkit #python #xgboost #adaboost #sklearn #scikit_mol

Yuan Tang

@terrytangyuan.xyz

9 years ago

Scikit Flow #skflow has been moved to @TensorFlo https://goo.gl/WvpO79 and will be maintained there! #deeperlearning #datascience #sklearn