Scikit Learn

entities · 21 notes linked

Related: Machine Learning · Numpy · Supervised Learning · Decision Trees · Scientific Computing · Classification · Numba · Cython

Notes

• #009 The Singular Value Decomposition(SVD) - illustrated in Python - Master Data Science — Step-by-step SVD tutorial with Python implementation and image reconstruction examples
• 6 Tricks I Learned From The OTTO Kaggle Challenge — Practical Kaggle competition tricks for ensembling and hyperparameter search
• Analyzing Documents with TF-IDF — TF-IDF weighting to identify distinctively frequent document terms
• Architecting a Machine Learning System for Risk — Airbnb's real-time fraud detection ML pipeline architecture
• Building a Decision Tree in Python from Postgres data - Gary Sieling — Tutorial building scikit-learn decision tree from PostgreSQL relational data
• GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. — Curated multi-language catalog of machine learning frameworks and libraries
• GitHub - kvh/ramp: Rapid Machine Learning Prototyping in Python — Pandas-based Python library for declarative ML feature and model exploration
• GitHub - ypeleg/HungaBunga: HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict! — Python library brute-forcing all sklearn models and hyperparameters via cross-validation
• Gradient descent for linear regression¶ — GD, SGD, and minibatch SGD implementations for least-squares linear regression
• How are feature_importances in RandomForestClassifier determined? — Scikit-learn random forest feature importance via weighted impurity reduction
• Machine Learning Algorithm Recipes in scikit-learn - MachineLearningMastery.com — Five standalone scikit-learn supervised classification code recipes
• Migrating an Sklearn model training Pipeline to Tensorflow Keras. — Porting sklearn preprocessing pipelines natively into Keras using EasyFlow
• Numba vs. Cython: Take 2 — Python performance benchmark comparing Numba JIT and Cython for pairwise distance computation
• Out-of-core classification of text documents — Scikit-learn online learning for text classification without loading full dataset
• Pythonic Perambulations — Benchmark comparison of Numba JIT versus Cython for Python numerical code
• SMOTE for Imbalanced Classification with Python - MachineLearningMastery.com — Synthetic minority oversampling technique for handling class imbalance
• The Big Data Brain Drain: Why Science is in Trouble — Academia's publish-or-perish model drives data-skilled scientists to industry
• Understanding Random Forests: From Theory to Practice — Random forests theory, variable importances, and fast scikit-learn implementation
• What you wanted to know about AUC — AUC-ROC metric explained as threshold-invariant ranking score
• Writing 'Python Machine Learning' — Sebastian Raschka's process writing 454-page ML Python textbook
• scikit-learn — Python machine learning library covering classification through preprocessing