wanlugu
PhD in Industrial Engineering, MASTER in Statistics, Data scientist in Oregon
SAIF CorporationSalem, OR
Pinned Repositories
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
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Ensemble-Learning
Model-Interpretation-Strategies
Model interpretation is an important part especially during business communication. There exist various model interpretation strategies and we can explore.
text-summarizer
Using extractive summarization to collect most important sentences (include questions) in the paragraph and put them together
wanlugu's Repositories
wanlugu/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
wanlugu/autocorrect
Python 3 Spelling Corrector
wanlugu/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
wanlugu/bert
TensorFlow code and pre-trained models for BERT
wanlugu/Big-data
Big data, noSQL, machine learning
wanlugu/Convolutional-Neural-Networks
The homework of coursera Convolutional Neural Networks
wanlugu/COVID-19-CaseStudy-and-Predictions
This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
wanlugu/Ensemble-Learning
wanlugu/Model-Interpretation-Strategies
Model interpretation is an important part especially during business communication. There exist various model interpretation strategies and we can explore.
wanlugu/text-summarizer
Using extractive summarization to collect most important sentences (include questions) in the paragraph and put them together
wanlugu/databricks-nutter-repos-demo
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
wanlugu/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
wanlugu/imageclassification
Deep Learning: Image classification, feature visualization and transfer learning with Keras
wanlugu/Improving-Deep-Neural-Networks-Hyperparameter-Tuning-Regularization-etc.
The assignment of course Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization on coursera.
wanlugu/learning-center-use-case-samples
Sample use-cases to accompany Learning Center content in DataRobot Community
wanlugu/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
wanlugu/Machine-Learning
wanlugu/Machine-learning-Coursera
Coursera's Machine/Deep Learning assignments
wanlugu/Model-Comparison-and-Calibration
Comparisons among multiple algorithms, and introduction to calibration
wanlugu/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
wanlugu/nginx-codebuild
A CodeBuild job of the official nginx Docker image
wanlugu/Python
wanlugu/Regression
wanlugu/SQL
wanlugu/tf-models
Models built with TensorFlow
wanlugu/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
wanlugu/tSNE
Visualising High Dimensional Data using tSNE
wanlugu/wanlugu
Config files for my GitHub profile.
wanlugu/whylogs
Profile and monitor your ML data pipeline end-to-end , Join us in slack @ http://join.slack.whylabs.ai/
wanlugu/whylogs-examples
A collection of WhyLogs examples in various languages