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Harnessing the Power of techtonique.net: A Comprehensive Guide to Machine Learning Classification via an API
https://thierrymoudiki.github.io/blog/2025/05/26/r/python/api-calls-techtonique
#Techtonique #DataScience #Python #rstats #MachineLearning
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R version of Python package survivalist, for model-agnostic survival analysis
https://thierrymoudiki.github.io/blog/2026/02/09/r/python/survivalist-r-package
#Techtonique #DataScience #Python #rstats #MachineLearning
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Python and Interactive dashboard version of Stock price forecasting with Deep Learning: throwing power at the problem (and why it won't make you rich)
https://thierrymoudiki.github.io/blog/2024/12/31/python/stock-forecasting-python-js
#Techtonique #DataScience #Python #rstats #MachineLearning
Transfer Learning using ahead::ridge2f on synthetic stocks returns Pt.2: synthetic data generation
https://thierrymoudiki.github.io/blog/2025/09/09/r/python/pretraining-ridge2f-part2
#Techtonique #DataScience #Python #rstats #MachineLearning
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A deeper learning architecture in nnetsauce
https://thierrymoudiki.github.io/blog/2020/12/18/python/quasirandomizednn/deep-nnetsauce
#Techtonique #DataScience #Python #rstats #MachineLearning
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Encoding your categorical variables based on the response variable and correlations
https://thierrymoudiki.github.io/blog/2020/04/24/python/r/misc/target-encoder-correlation
#Techtonique #DataScience #Python #rstats #MachineLearning
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Prediction intervals (not only) for Boosted Configuration Networks in Python
https://thierrymoudiki.github.io/blog/2022/10/05/python/explainableml/interpretation-and-PI-for-BCN
#Techtonique #DataScience #Python #rstats #MachineLearning
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ahead forecasting (v0.10.0): fast time series model calibration and Python plots
https://thierrymoudiki.github.io/blog/2024/02/26/python/r/julia/ahead-v0100
#Techtonique #DataScience #Python #rstats #MachineLearning
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Multiple examples of Machine Learning forecasting with ahead
https://thierrymoudiki.github.io/blog/2024/03/11/r/preds
#Techtonique #DataScience #Python #rstats #MachineLearning
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Recognizing handwritten digits with Ridge2Classifier
https://thierrymoudiki.github.io/blog/2024/06/03/python/quasirandomizednn/ridge2classifier-loglik
#Techtonique #DataScience #Python #rstats #MachineLearning
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Using the `teller` on a classifier
https://thierrymoudiki.github.io/blog/2019/12/06/explainableml/the-teller-4
#Techtonique #DataScience #Python #rstats #MachineLearning
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Techtonique web app for data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization
https://thierrymoudiki.github.io/blog/2024/09/25/python/r/survival-forest
#Techtonique #DataScience #Python #rstats #MachineLearning
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Forecasting benchmark: Dynrmf (a new serious competitor in town) vs Theta Method on M-Competitions and Tourism competitition
https://thierrymoudiki.github.io/blog/2026/01/01/r/theta-vs-dynrmf-on-M1-M3-Tourism
#Techtonique #DataScience #Python #rstats #MachineLearning
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Techtonique web app for data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization
https://thierrymoudiki.github.io/blog/2024/09/25/python/r/survival-forest
#Techtonique #DataScience #Python #rstats #MachineLearning
Import data into the querier (now on Pypi), a query language for Data Frames
https://thierrymoudiki.github.io/blog/2020/03/13/databases/python/the-querier-4
#Techtonique #DataScience #Python #rstats #MachineLearning
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Explaining xgboost predictions with the teller
https://thierrymoudiki.github.io/blog/2021/03/12/python/explainableml/teller-xgboost
#Techtonique #DataScience #Python #rstats #MachineLearning
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A Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush
#Techtonique #DataScience #Python #rstats #MachineLearning
Feedback forms for contributing
https://thierrymoudiki.github.io/blog/2020/02/07/r/explainableml/databases/quasirandomizednn/misc/forms
#Techtonique #DataScience #Python #rstats #MachineLearning
`crossvalidation` on R-universe, plus a classification example
https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe
#Techtonique #DataScience #Python #rstats #MachineLearning
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Introducing the querier
https://thierrymoudiki.github.io/blog/2019/10/25/databases/the-querier-1
#Techtonique #DataScience #Python #rstats #MachineLearning
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Version 0.4.0 of nnetsauce, with fruits and breast cancer classification
https://thierrymoudiki.github.io/blog/2020/02/28/python/quasirandomizednn/r/nnetsauce-new-version
#Techtonique #DataScience #Python #rstats #MachineLearning
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Super Mario Bros © in the browser using PyScript
https://thierrymoudiki.github.io/blog/2022/05/08/python/misc/pyscript
#Techtonique #DataScience #Python #rstats #MachineLearning
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Prediction sets and prediction intervals for conformalized Auto XGBoost, Auto LightGBM, Auto CatBoost, Auto GradientBoosting
https://thierrymoudiki.github.io/blog/2024/09/02/python/r/conformalized-unibooster
#Techtonique #DataScience #Python #rstats #MachineLearning
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Risk-neutralize simulations
https://thierrymoudiki.github.io/blog/2023/09/04/r/misc/ahead-neutralize
#Techtonique #DataScience #Python #rstats #MachineLearning
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Model-agnostic global Survival Prediction of Patients with Myeloid Leukemia in QRT/Gustave Roussy Challenge (challengedata.ens.fr): Python's survivalist Quickstart
https://thierrymoudiki.github.io/blog/2025/02/10/python/Benchmark-QRT-Cube
#Techtonique #DataScience #Python #rstats #MachineLearning
2020 recap, Gradient Boosting, Generalized Linear Models, AdaOpt with nnetsauce and mlsauce
https://thierrymoudiki.github.io/blog/2020/12/29/python/r/misc/recap-2020-highlights
#Techtonique #DataScience #Python #rstats #MachineLearning
nnetsauce on Pypi
https://thierrymoudiki.github.io/blog/2019/06/05/python/quasirandomizednn/pypi-nnetsauce
#Techtonique #DataScience #Python #rstats #MachineLearning
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Comparing cross-validation results using crossval_ml and boxplots
https://thierrymoudiki.github.io/blog/2023/08/27/r/misc/crossvalidation-boxplots
#Techtonique #DataScience #Python #rstats #MachineLearning
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learningmachine v1.0.0: prediction intervals around the probability of the event 'a tumor being malignant'
https://thierrymoudiki.github.io/blog/2024/03/25/r/learningmachine
#Techtonique #DataScience #Python #rstats #MachineLearning
No-code Machine Learning Cross-validation and Interpretability in techtonique.net
https://thierrymoudiki.github.io/blog/2024/12/23/python/r/techtonique/techtonique
#Techtonique #DataScience #Python #rstats #MachineLearning
