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An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, mult…
This Repository contains topics related to Amortized Analysis. Amortized analysis is like budgeting for algorithms. Instead of focusing on the worst-case scenario for each operation, it looks at th…
use the data set and run the ipynb file
practical concept of DSA and basic implementation
Simple interview questions and practical python coding as simple as possibe will be in this repository ,,mostly concepts like DSA ,Database ,Operating system , Automata control, Aptitude
pavithrakumar1118 / Perfect-Roadmap-To-Learn-Data-Science-In-2024
Forked from krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2025A Python application that uses camera input to train a SVM to respond to specific actions.
Some basic visualizations and analyses for cryptocurrencies.
A self-study curriculum for learning Python in four weeks.
A simple self-driving AI car game, which uses NEAT.
A Python application that visualizes stock data using professional candlestick charts.
A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are.
A Python application which uses machine learning classification algorithms to classify drawings of the user.
A collection of the code I have written for my YouTube tutorials.
A simple Python script that is able to download YouTube videos or playlists and convert them into MP3.
A simple interface for working with intents and chatbots.
regression and classification of different dataset