Text Classification Algorithms: A Survey

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

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

Machine Learning for High Energy Physics.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

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).

In depth machine learning resources

Catboost Go Wrapper

Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence

MILBoost and other boosting algorithms, compatible with scikit-learn

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).

Run XGBoost model and make predictions in Node.js

Play around with NGBoost and compare with LightGBM and XGBoost

{PySpark, R, Python}: Several Data Science projects

The Tidymodels Extension for Time Series Boosting Models

Programmable Decision Tree Framework

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells