Name: Ashish Tele
Type: User
Company: Cardinal Health
Bio: Data Science Lead & ML Expert (Functional Manager) at Cardinal Health, Data Science graduate from UConn School of Business
Twitter: ashishtele1
Location: Stamford
Hello!! This is Ashish T. I am a Data Science Professional 👨🎓
Let's connect!! Find me on the web.
🔭 I’m currently working on:- Spreading knowledge on machine learning/statistical modeling through blog post.
🌱 I’m currently Mastering:- Python, Advanced R, Power BI, and Business Communication.
📫 How to reach me:- My Blog
🤔 I’m seeking help with:- Research on Vedic maths and its implementation in ML.
⚡ Interested in:- HealthTech, MedTech, and ClimateTech.
100-days-of-ml-code
100 Days of ML Coding
2015
Public material for CS109
66daysofdata
#66DaysOfData
ashishtele
Special Repository
ashishtele.github.io
🔥 A website showcasing my work
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-r
A curated list of awesome R packages, frameworks and software.
classification_projects
Competition Scripts: Drivendata.org
datasciencer
a curated list of R tutorials for Data Science, NLP and Machine Learning
dataviz
A book covering the fundamentals of data visualization.
deck.gl-data
Data for the data visualization library deck.gl examples (https://uber.github.io/deck.gl/#/)
deep-learning-with-r-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep_learning_class_jeff
Scripts from Deep Learning class
deeplearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
deeplearningbook-notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
ds-optimus
How to do data science with Optimus, Spark and Python.
fastbook
Draft of the fastai book
hugging-face-lm
This repository is to test the language model from HuggingFace
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
kaggle---kiva-analysis
Kaggle Competition - Kiva data exploration and exploratory data analysis
kaggle-bike-sharing-demand
Forecast use of a city bikeshare system
kaggle-work-eda-kernel
This repository contains my EDA scripts of Kaggle & MakeoverMonday Datasets
keras
Deep Learning for humans
linear-regression---real-estate
House sale price prediction - Ames Housing (caret), Boston house sale price etc.
logistic-regression
Salary division classification ($50k)
machine-learning-with-r-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
machine_learning_hands_on_projects
Implementing Machine learning algorithms on available datasets
market-basket-analysis
UCI repository - Online Retail
mckinsey-hackathon
McKinsey Hackathon - Ranked 228th (top 5%)
metaflow_mlops
End to end example of Metaflow and Prefect pipelines (Python)
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
