An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
-
Updated
Oct 27, 2022 - Jupyter Notebook
#
predictive-modeling
Here are 2,939 public repositories matching this topic...
A Julia machine learning framework
data-science machine-learning statistics pipeline clustering julia pipelines regression tuning classification ensemble-learning predictive-modeling tuning-parameters stacking
-
Updated
May 26, 2025 - Julia
Machine Learning in R
data-science machine-learning cran tutorial r statistics clustering regression feature-selection tuning classification survival-analysis r-package hyperparameters-optimization predictive-modeling imbalance-correction mlr learners stacking multilabel-classification
-
Updated
Aug 12, 2024 - R
moDel Agnostic Language for Exploration and eXplanation
black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis
-
Updated
Feb 12, 2025 - Python
Coursera Machine Learning - Python code
-
Updated
Oct 1, 2020 - Jupyter Notebook
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
python machine-learning library web-analytics pandas data-visualization business-intelligence segmentation machinelearning predictive-modeling predictive-analytics clickstream product-analytics customer-segmentation customer-journey-map behaviour-analysis user-trajectories-analysis graph-visualizer user-trajectories
-
Updated
Dec 1, 2023 - Python
Surrogate Modeling Toolbox
machine-learning derivative sampling predictive-modeling surrogate-models mixture-of-experts multi-fidelity
-
Updated
Apr 28, 2025 - Jupyter Notebook
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
machine-learning deep-neural-networks deep-learning computational-biology pytorch computational-chemistry drug-discovery drug-design predictive-modeling graph-convolutional-networks qsar
-
Updated
Nov 26, 2023 - Python
Keras implementation of Representation Learning with Contrastive Predictive Coding
-
Updated
Jun 19, 2019 - Python
Contrastive Predictive Coding for Automatic Speaker Verification
representation-learning predictive-modeling unsupervised-learning contrastive-loss automatic-speaker-verification
-
Updated
Oct 29, 2019 - Python
Predict time-series with one line of code.
timeseries time-series prediction predictions predictive-modeling prediction-algorithm time-series-analysis timeseries-data timeseries-analysis timeseries-forecasting
-
Updated
Oct 21, 2024 - Python
PyTorch implementation of the CortexNet predictive model
-
Updated
Nov 28, 2018 - Jupyter Notebook
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
-
Updated
Mar 8, 2024 - Python
Analytics & Machine Learning R Sidekick
visualization api marketing data-science machine-learning automation r puzzle analytics h2o rstats r-package predictive-modeling descriptive-statistics mmm automl rlanguage robyn
-
Updated
May 5, 2025 - R
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
visualization learning data-science machine-learning statistics big-data analytics data-analysis predictive-analysis predictive-modeling data-preparation descriptive-statistics
-
Updated
Apr 14, 2024 - TeX
SF Brigade's Data Science Working Group.
data-science data-visualization san-francisco inferential-statistics predictive-modeling code-for-sf code-for-america
-
Updated
Sep 22, 2021 - Jupyter Notebook
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
machine-learning qlearning ai deep-learning neural-network micropython esp32 q-learning artificial-intelligence neurons deeplearning mlp predictive-modeling ann lopy wipy pycom multilayer-perceptron hc2
-
Updated
Dec 23, 2020 - Python
Website sources for Applied Machine Learning for Tabular Data
machine-learning statistical-learning predictive-modeling regression-models quarto classification-models quartopub
-
Updated
May 26, 2025 - TeX
Code for the CUP Elements on text analysis in Python for social scientists
analysis text-classification clustering text-analysis prediction embeddings neural-networks topic-modeling data-analysis predictive-modeling social-sciences classification-models
-
Updated
Sep 11, 2022 - Jupyter Notebook
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier
-
Updated
Sep 8, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the predictive-modeling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the predictive-modeling topic, visit your repo's landing page and select "manage topics."