KunaalNaik
I love teaching Data Science. My YouTube channel contains videos on how to use Excel, Machine Learning, Python, R and other development related tutorials.
DellBangalore, India
KunaalNaik's Stars
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
great-expectations/great_expectations
Always know what to expect from your data.
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Palashio/libra
Ergonomic machine learning for everyone.
instill-ai/vdp
💧 Instill VDP (Versatile Data Pipeline) is an open-source tool to seamlessly integrate AI to process unstructured data in the modern data stack
danielbeach/data-engineering-practice
Data Engineering Practice Problems
microsoft/powerbi-desktop-samples
Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.
mGalarnyk/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
jupyter/dashboards
[RETIRED] See Voilà as a supported replacement
vizzuhq/ipyvizzu
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
dataprofessor/infographic
Infographic
ronikobrosly/awesome-data-leadership
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
caserec/CaseRecommender
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
noahgift/Python-MLOps-Cookbook
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
Nachimak28/awesome-list-of-awesomes
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
vopani/datatableton
100 exercises to learn Python Datatable
Minyus/pipelinex
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
eugeneyan/applyingml
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
atif-hassan/PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
ctti-clinicaltrials/aact
Improving Public Access to Aggregate Content of ClinicalTrials.gov
alteryx/predict-loan-repayment
Predict whether a loan will be repaid using automated feature engineering.
PaleNeutron/streamlit-ext
Streamlit widgets synce value with url ,download button which won't cause rerun and some useful functions
komal11lamba/50-days-of-Statistics-for-Data-Science
This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
awesome-panel/panel-modal
A Modal that works with Panel in both server and notebook environments.
valiotti/chatgpt-sql-data-analyst
ChatGPT implementation for data analyst SQL writer
raghuvv/JupyterLab-Setup-Win10
MarcSkovMadsen/data-app-converter
This project makes it easy to convert Streamlit data apps to Panel data apps