mvishruth's repositories
awesome-h2o
A curated list of research, applications and projects built using H2O Machine Learning
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
FeatureSelection
Feature Selection in R using glmnet-lasso, xgboost and ranger
forecasting
Time Series Forecasting Best Practices & Examples
fuzzy-match-company-name
demo using FuzzyWuzzy matching company names
github_actions
actions demo
gitignore
A collection of useful .gitignore templates
h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
HP3
Repository for Host-Pathogen Phylogeny Project. Paper DOI: 10.1038/nature22975
ISL-python
Porting the R code in ISL to python. Labs and exercises
Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
march
devops
PresidentialElection2020
Simulating Polish presidential elections 2020 using county-by-county analysis of historical data.
project-based-learning
Curated list of project-based tutorials
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
r-tensorflow-api
A small Docker container for using R and TensorFlow as an enterprise API
r4ds
R for data science: a book
scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
silver-potato
Data Science Pet Containers
sqlflow_public
Document, sample code and other materials for SQLFlow
Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
tidycovid19
{tidycovid19}: An R Package to Download, Tidy and Visualize Covid-19 Related Data
Using_R_With_Databases
Standardized Environment for R-studio Server.
webinars
Code and slides for RStudio webinars
Website
Website
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow