Data-driven insights of Tesla's regional trends, production efficiency, and sustainability performance across different Tesla car models 🚗
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Updated
Dec 9, 2025 - Makefile
Data-driven insights of Tesla's regional trends, production efficiency, and sustainability performance across different Tesla car models 🚗
Upper Confidence Bound (UCB) multi-armed bandit algorithm for ad click-through rate optimization over 10,000 rounds
Программа симуляции стратегий UCB и сэмплирования Томпсона для пакетной обработки данных на примере задачи о многоруком бандите.
Implementation of the Multi-Armed Bandit where each arm returns continuous numerical rewards. Covers Epsilon-Greedy, UCB1, and Thompson Sampling with detailed explanations.
Estou estudando C pelo livro "Treinamento em Linguagem C". Estou no 2º semestre, estudando "Algoritmos e programação estruturada. Vou postar meu estudo e os codigos que fiz aqui.
Multi Armed Bandits implementation using the Jester Dataset
Reinforcement learning used in the game of pong
Chapter wise implementation & analysis of all the algorithms in RL : An Intoduction by Richard S. Sutton and Andrew G. Barto
Complete Tutorial Guide with Code for learning ML
Train and test your IA's using these samples in the machine learning field.
This repo houses the material of UCB course CS61B 2021: Data Structures & Algorithms
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
R.I.T project
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
Efficient exploration and exploitation strategies using Epsilon-Greedy, UCB1, and Thompson Sampling — with code, math, and intuition.
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