datamaniac-dev Goto Github PK
Type: User
Type: User
The purpose of this repo is to provide a list of micro-projects to help people with their Cloud Journey.
Public material for CS109
Collection of contributions to and resources for the first #30DayChartChallenge in April 2021
Content for Applied ML Workshop @ DataHack Summit 2019
Approaching (Almost) Any Machine Learning Problem
The art of effective visualization of multi-dimensional data
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of deep learning resources for computer vision
Papers for normalization techniques, released codes collections.
+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎
These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website
Sample files to accompany the FT's Chart Doctor column
Course Files for Complete Python 3 Bootcamp Course on Udemy
Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
The Data Engineering Cookbook
This Repo is used for accumulate basic Data Engineering Knowledges. The roadmap is originally from this repo https://github.com/datastacktv/data-engineer-roadmap.
Graduate Machine Learning Course at the University of Rhode Island
General Assembly's Data Science course in Washington, DC
More than 2000+ Data engineer interview questions.
Carefully curated resource links for data science in one place
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
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 repository for various mini-projects as a part of my curriculum or personal interest | Includes data visualization, market segmentation, author attribution, portfolio modeling and association rule mining
Toturial coming with "data science roadmap" graphe.
"Experts often possess more data than judgment." ― Colin Powell
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.