scikit-learn cross validators for iterative stratification of multilabel data

Machine learning for C# .Net

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Time Series Cross-Validation -- an extension for scikit-learn

State-of-the art Automated Machine Learning python library for Tabular Data

A Portfolio of my Data Science Projects

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Automated rejection and repair of bad trials/sensors in M/EEG

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

The implementation of 3D-UNet using PyTorch

LIBSVM for the browser and nodejs :fire:

Spatial Modelling for Data Scientists

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Spells for everyday living, also a book -- Models Demystified -- now available!

🦅Hyperparameter optimization for machine learning pipelines 🦅

Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.

Utilities for glmnet

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

DataFrame support for scikit-learn.

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Spatiotemporal resampling methods for mlr3

An Interactive Approach to Understanding Deep Learning with Keras

🤠 📿 The Highly Adaptive Lasso

Time-Series Cross-Validation Module