This is Trisit, currently working as a Systems Analyst and Partly as Data Engineer..
"Keep Analyzing, Keep exploring"
Type: User
Bio: Technical Business Analyst with 11 Years of experience in IT industry. ML and AI enthusiast.
Approach Almost
Linear Regression Model to predict Admission in University
Some of the ML and DL related reading materials, research papers that I've read
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
A curated list of awesome Machine Learning frameworks, libraries and software.
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.
Cheat Sheets
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Basics of Deep Learning
Basic-Flask-Demo
Python books free to read online or download
this repository accompanies the book "Grokking Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Library to scrape and clean web pages to create massive datasets.
https://huyenchip.com/ml-interviews-book/
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
100 numpy exercises (with solutions)
PySpark-Tutorial provides basic algorithms using PySpark
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
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.