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autocorrect

Python 3 Spelling Corrector

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bert

TensorFlow code and pre-trained models for BERT

big-data

Big data, noSQL, machine learning

concept-drift-and-model-decay

Evaluating model decay as the underlying concepts for classification evolve

convolutional-neural-networks

The homework of coursera Convolutional Neural Networks

covid-19-casestudy-and-predictions

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

customer-churn-project

This project covers an end-to-end machine learning cycle. You can examine the model development, interface, api and docker stages of the project.

databricks-nutter-repos-demo

Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

ensemble-learning

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

hello-world-docker-action

Build docker container using Github action

imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

improving-deep-neural-networks-hyperparameter-tuning-regularization-etc.

The assignment of course Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization on coursera.

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

machine-learning

machine-learning-coursera

Coursera's Machine/Deep Learning assignments

model-comparison-and-calibration

Comparisons among multiple algorithms, and introduction to calibration

model-interpretation-strategies

Model interpretation is an important part especially during business communication. There exist various model interpretation strategies and we can explore.

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

nginx-codebuild

A CodeBuild job of the official nginx Docker image

python

regression

sql

stack-overflow-competition

Benchmarks for Kaggle's Predict Closed Questions on Stack Overflow competition

t-sne-tutorial

A tutorial on the t-SNE learning algorithm

text-summarizer

Using extractive summarization to collect most important sentences (include questions) in the paragraph and put them together

tf-models

Models built with TensorFlow

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.