- š Iām currently working on Deep Learning project for Trust Systems company
- š± Iām currently learning Data science and deep learning
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A day to day plan for this challenge. Covers both theoritical and practical aspects
This is Andrew NG Coursera Handwritten Notes.
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Australian companies that provide work visa (and/or relocation) to their employees (mainly tech).
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of references for MLOps
š A ranked list of awesome machine learning Python libraries. Updated weekly.
Data and code behind the articles and graphics at FiveThirtyEight
Carefully curated resource links for data science in one place
Data Science Intern at Data Glacier
Resoruce to help you to prepare for your comming data science interviews
dataquest.io data science path courses (self practice)
Practicing Python for Deep Learning with Tensorflow 2 library and Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
List of Data Science Cheatsheets to rule the world
containing dataquest.io projects for data science track a beginner friendly projects to learn data science including (data analysis, EDA, SQL, ML)
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Basic Machine Learning implementation with python
this repo including beginner friendly Machine learning projects (regression/ classification) to do some practice with sickit learn library
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
šŗ Discover the latest machine learning / AI courses on YouTube.
NLP course for ITI AI-Pro track
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.