A pod of orcas on the transfer (picture credit score: Andreina Schoeberlein, CC BY ND 2.0)Orcas? For these of you…
Browsing: Machine Learning
Undertaking authors: Aditya Girdhar, Aditya Raj, Mehar Khurana, Nalish JainThis mission was shortlisted as one of many “Finest Course Tasks”…
Created by Secure DiffusionIf I’ve to summarize your complete tech revolution of 2023 in two phrases, it could be —…
Picture by Alexandra_Koch from PixabayOpenAI’s GPT fashions are identified to be fairly good at constantly outputting legitimate JSON, particularly when…
在當今的數據時代下，某些企業不一定具備「養資料」之能力及習慣，因此企業可能產生資料匱乏而無法進行有效決策之瓶頸。於本專案中，倘若汽車租賃公司缺乏其所擁有車輛之碳排放量相關數據時，例如缺少車輛油耗資料，就無法直接計算每公里的碳排放量。在這樣的情況下，企業無法對車輛進行碳排放量的遞減排序，也無從判斷哪些是高碳排放的車輛而需要加以淘汰。為解決資料匱乏之問題，本專案運用機器學習技術建立碳排放量的預測模型，只需極少的車輛基本資料，便可以準確預測碳排放量，以協助企業進行後續排序、篩選、評估或其他減碳轉型決策。淘汰數量為本次專案指定之100台：https://youtu.be/ZC0vMOI-Aiw淘汰數量為自行設定之300台：https://youtu.be/vcQ6U_oVNMs# 資料處理套件import pandas as pd# 讀取資料df_combined = pd.read_excel(“curb_weight_bigdata_without2022.xlsx”) ”’使機器自動辨別各資料間的關聯，再依可能較相關之資料群進行分群”’# ML套件from sklearn.cluster import KMeansdef kmeans_(df):included = [‘Engine Size(L)’, ‘Cylinders’]X = df[included]mannequin…
Within the ever-evolving panorama of Synthetic Intelligence (AI), Hugging Face has emerged as a outstanding participant, using cutting-edge applied sciences…
Remodeling On a regular basis Duties into Earnings with Three Beneath-the-Radar AI InstrumentsWhat if I instructed you that you would…
Introduction The Chinese language Room Experiment is a thought experiment that delves into Synthetic Intelligence (AI) and raises profound questions…
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شماره خاله 0901.033.4786شماره خاله دزفول.شماره خاله شوشتر.شماره خاله بهبهان.شماره خاله اهواز.شماره خاله اندیمشک.شماره خاله زنجان.شماره خاله قم.شماره خاله زاهدان.شماره خاله…