URL: https://github.com/zaidk2021/Intel-Unnati-Project-Fake-News-Detection-MachineMinds-MITManipal
The Fake News Detection Project by MachineMinds (MIT Manipal) identifies and classifies fake news using advanced NLP and machine learning techniques. It preprocesses text data, trains models like Logistic Regression and transformers, and ensures real-time news verification. Developed under Intel
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URL: https://www.kaggle.com/code/zengamer/induction-motor-faults-detection
This project focuses on detecting faults in induction motors using machine learning and deep learning models. It preprocesses sensor data, trains models like SVM, kNN, and DNN, evaluates performance, and provides predictions with insights into motor health.
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URL: https://www.kaggle.com/code/zengamer/wind-turbine-energy-model-prediction
AI-Powered Wind Turbine Fault Detection: Predictive Maintenance for Enhanced Efficiency & Reliability
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URL: https://www.kaggle.com/code/zengamer/solar-power-generation-prediction
Predicting Solar Power Generation: A Machine Learning Approach using Historical Weather Data and Time-Series Analysis for Accurate Renewable Energy Forecasting.
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URL: https://www.kaggle.com/code/zengamer/ac-machines-excitation-currentofsynchronousmotor
Analysis of Synchronous Motor Excitation Current using Machine Learning techniques, exploring relationships between Load Current, Power Factor, and Excitation Current
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URL: https://github.com/tao011110/OneAPI/blob/master/mul.py
It demonstrates how to perform matrix multiplication on large matrices and optimize the operation using Intel OneAPI.
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URL: https://github.com/dharanre/drug-forge
DrugForge is an AI-powered platform designed to revolutionize drug discovery by leveraging machine learning models and computational simulations. The platform accelerates the identification of potential drug candidates, predicting key properties and ensuring safety, efficacy, and rapid development.
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URL: https://github.com/Okabe-Rintarou-0/oneAPI-samples/blob/master/multiply.ipynb
Oneapi Basic Example
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URL: https://github.com/hongfanmeng/oneapi-linear-regression-demo
使用燃料消耗数据集，进行单元及多元回归分析。使用 Intel oneAPI 进行加速计算。
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URL: https://github.com/SunLin-mumu/oneApi.git
This is a project for decision tree modeling of skull data.
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URL: https://github.com/ChYe-2020/ML_Diabetes.git
Machine Learning, Diabetes, Linear Regression
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URL: https://github.com/Bran-z1/oneapi-demo
This repository contains a project that leverages Intel Extension for PyTorch (IPEX) to optimize the performance of PyTorch models on Intel hardware.
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URL: https://www.kaggle.com/code/zengamer/water-quality-prediction
Grey Water Management- Designing low-cost testing kits capable of detecting bacterial, faecal, and microbial contaminants in groundwater
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URL: https://github.com/SanjeyGM/Tableau/tree/main/Steam%20Dashboard
This Tableau Steam Game Analysis Dashboard offers insights into popular games, trends, player counts, and reviews. It visualizes data such as top genres, revenue growth, regional preferences, peak concurrent players, and user ratings. This helps identify trends and optimize gaming strategies.
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URL: https://github.com/SanjeyGM/Flight_Price_Prediction
Developed a flight price prediction model using RandomForest, Linear Regression, Decision Tree, and more. Integrated Intel oneAPI with oneDAL's library for faster computation. Evaluated models using R², MAE, MSE, and RMSE. Saved the optimized Bagging Regressor for future use.
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