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Name: Phani Chandra Sekhar Avagaddi
Type: User
Bio: An enthusiastic to learn new things, interested in exploring the cutting-edge technologies
Location: Hyderabad
Name: Phani Chandra Sekhar Avagaddi
Type: User
Bio: An enthusiastic to learn new things, interested in exploring the cutting-edge technologies
Location: Hyderabad
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
An experimental open-source attempt to make GPT-4 fully autonomous.
How To Automate YouTube Workflow With ChatGPT Automation
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
This repo includes ChatGPT prompt curation to use ChatGPT better.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of references for MLOps
build_1_person_business_all_ai_all_local
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
This autoblogger uses the GPT assistant's API to autoblog on ecommerce websites
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
📖 A step-by-step guide for beginners to running Claude-generated React code locally.
This repository contains everything you need to become proficient in Deep Learning
Complete-Life-Cycle-of-a-Data-Science-Project
Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.
:mag_right: Data analysis with real world data sets using Python :mag:
:bar_chart: Path to a free self-taught education in Data Science!
Carefully curated resource links for data science in one place
10 Weeks, 20 Lessons, Data Science for All!
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Collection of data science projects in Python
Open Source Data Science Resources.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Python-centered read-along of Forecasting: Principles and Practice
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.