Text Classification Algorithms: A Survey
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Updated
Oct 10, 2024 - Python
Text Classification Algorithms: A Survey
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Machine Learning for High Energy Physics.
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence
The Tidymodels Extension for Time Series Boosting Models
ML-algorithms from scratch using Python. Classic Machine Learning course.
Run XGBoost model and make predictions in Node.js
In depth machine learning resources
Programmable Decision Tree Framework
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Deepboost R-package for submission
Play around with NGBoost and compare with LightGBM and XGBoost
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
{PySpark, R, Python}: Several Data Science projects
MILBoost and other boosting algorithms, compatible with scikit-learn
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