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Some worked exercises from Larry Wasserman's "All of Statistics"
My notes / works on deep learning from Coursera
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
DeepLearning.AI TensorFlow Developer Professional Certificate
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Building knowledge graph from input data
Solutions to Andrew NG's machine learning course on Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Machine Learning library for educational purpose.
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Python solutions to solve practical business problems.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Code that accompanies online statistics and machine-learning course
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.