Type: User
I'm a Data Scientist with extensive experiance in marketing and sales.
A. Data Science
1. Python
2. Pyspark
3. SQL
4. Data Visualization: Tableau | Power BI
5. Machine Learning
B. Customer Analytics
1. Audience Profiling
2. Customer Lifetime Value
3. Customer Retention
C. A/B or Multi Testing
D. Statistics
E. More ...
Apache Airflow tutorial
code_snippets
data-science-on-aws
datasciencecoursera
datasciencespecialization-courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
developingdataproducts
devtools
Tools to make an R developer's life easier
dstoolbox-datasharing
The Leek group guide to data sharing
eu.us.opendata
As part of an EU-US Transatlantic Open Data Partnership, the eu.us.opendata R library was developed to provide access to comparable datasets from the EU and the US. This version is in alpha. Feedback welcome -- submit an issue via this repo!
expdataanalysis-pa1
Plotting Assignment 1 for Exploratory Data Analysis
fuzzywuzzy
Fuzzy String Matching in Python
getcleandata-pa
github-actions-course-resources
Resources (code, slides) for our GitHub Actions course (https://acad.link/gh-actions)
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
machine-learning
machine-learning-specialization
machine-learning-with-python
Python code for common Machine Learning Algorithms
machine_learning_examples
A collection of machine learning examples and tutorials.
markdown-guide
This is an easy-to-use guide to markdown. The focus is on clear, legible text and indexed navigation to topic sections.
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
market-mix-modelling
This repository contains the code and explanation for market mix modelling technique in economics
mlopspython
MLOps using Azure ML Services and Azure DevOps
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
pivottable
Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.
plotly-dashboards-with-dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
practicalmachinelearning
presentation
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.