manoj0911 Goto Github PK
Type: User
Bio: Data Analyst to Data Scientist
Type: User
Bio: Data Analyst to Data Scientist
Codes related to activities on AV including articles, hackathons and discussions.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
This is my repo following the book "Automate the boring Stuff" by Al Sweigart
:sunglasses: Curated list of awesome lists
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
Interesting links & research papers related to Machine Learning applied to source code
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Simple responsive charts
All the cheat sheets you need as a novice machine learning engineer
Essential Cheat Sheets for deep learning and machine learning researchers
Machine learning cheetsheets
This repository contains my code scripts to automate boring stuff around me.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
List of Computer Science courses with video lectures.
Sample code showing how to integrate and embed Tableau in a web portal
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
General Assembly's Data Science course in Washington, DC
Data and code behind the articles and graphics at FiveThirtyEight
Collection of resources I've found to be helpful for data science and programming
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.
common data analysis and machine learning tasks using python
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
A mirror of diveintopython.org.
Create and modify Tableau workbook and datasource files
A general purpose, real-time visualization library.
Facebook chatbot that I trained to talk like me using Seq2Seq
Facepager was made for fetching public available data from Facebook, Twitter and other JSON-based APIs.
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.