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Name: Dennis M Senyonjo
Type: User
Company: Renesas Mobile
Location: Denmark
Name: Dennis M Senyonjo
Type: User
Company: Renesas Mobile
Location: Denmark
A LaTeX resume template, tailored for the recent graduate who aspires to be a Data Scientist/Engineer.
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Roadmap to becoming a data engineer in 2020
Challenge for those applying to the Software Engineer, Big Data position
How to build an awesome data engineering team
Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!
All Data Engineering notebooks from Datacamp course
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Data Lakes for Enterprises, published by Packt
Resources for the Data Mining for Bussiness and Governance course.
:bar_chart: Path to a free self-taught education in Data Science!
A Handful of D(u)S(t)
A curated list of data science blogs
Data science interview questions with answers. Not ideally (yet)
Data science interview questions and answers
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
:star2::star2: Projects , Blogs and Notebooks on numpy , scikit, pandas , matplotlib and usuage of Tensorflow :star2:
⭐⭐⭐ 🎯 Personal roadmap to get a deeper knowledge in Data Science and related areas
A list of take home challenges for data science interviews I've compiled
Ways of doing Data Science Engineering and Machine Learning in R and Python
Productivity Utilities for Data Science with Python Notebooks
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
365
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
Open Source Data Science Resources.
The Open Images dataset
Archive for Norwegian datasets published in GBIF
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.