This repo is accompanying the publication: “Computational fingerprinting workflow for environmental source tracking of microplastic based on representative additives”
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Updated
Jun 9, 2024 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
This repo is accompanying the publication: “Computational fingerprinting workflow for environmental source tracking of microplastic based on representative additives”
A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.
Personal Repository for the laboratory of Machine Learning and Pattern Recognition at PoliTo
TD3-based Deep Reinforcement learning-based collision avoidance of mobile robots in ROS2.
Machine learning algorithms for many-body quantum systems
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文…
This repository contains Machine Learning Lab cycle programs.
This repository is a curated collection of beginner to advanced level tutorials covering a wide range of machine learning concepts and techniques.
An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.
Will be updating work done by me in Machine Learning
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
This project aims to predict the next user purchase based on a sequence of past transactions. Using a combination of LSTM and SimpleRNN layers in a neural network, the model processes encoded purchase sequences and predicts future buying behavior, leveraging a synthetic dataset of 47 e-commerce platforms.
Implementations of fundamental machine learning algorithms from scratch using Python
Application of different deep tabular learning methods to water problem datasets using Python
Web app for used car price predictions
Industrial Copper Modeling : This project explores the application of machine learning (ML) for sales and pricing optimization in the copper industry. It addresses challenges associated with skewed and noisy data by building regression and classification models.
Machine Learning Algorithms