Applied Machine Learning & Deep Learning With Pytorch - Printable Version +- Nice1 Community Forum (https://talk.nice1.org) +-- Forum: Nice1 Community (https://talk.nice1.org/forumdisplay.php?fid=3) +--- Forum: Media (https://talk.nice1.org/forumdisplay.php?fid=9) +--- Thread: Applied Machine Learning & Deep Learning With Pytorch (/showthread.php?tid=1592)

Applied Machine Learning & Deep Learning With Pytorch - Courses2025 - 11-21-2025 Free Download Applied Machine Learning & Deep Learning With Pytorch Published 11/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 8.02 GB | Duration: 5h 31m Build ML & DL Models Using PyTorch with Hands on Projects across NLP, Vision & Predictive Analytics What you'll learn Build machine learning regression & classification models Develop CNN, RNN, MLP, and LSTM architectures in PyTorch Perform NLP tasks like sentiment analysis & spam detection Implement image classification models for handwritten alphabets & traffic signs Convert notebooks into modular Python project structures Requirements Basic Python knowledge Understanding of machine learning concepts No prior PyTorch experience required No prior deep learning experience required Very basic maths Description Course DescriptionThis tutorial course is a practical, project driven introduction to Machine Learning and Deep Learning using PyTorch. Each concept is taught through real world examples, allowing professionals to quickly understand, how models work and how they are used in real applications. You will build complete end to end projects such as LSTM based sentiment analysis, RNN based spam detection, CNN models for image classification, MLP networks for video quality prediction, and regression models using real datasets from sales, finance, and home loan scenarios. This tutorial course also covers how to convert Jupyter Notebook experiments into a clean, modular Python project structure suitable for production use.By combining NLP, computer vision, and predictive analytics use cases, this tutorial course helps you gain solid practical experience in PyTorch while learning how to preprocess data, design model architectures, train models, evaluate results, and prepare solutions for real-world implementation.This Tutorial Course Primarily Focuses On:Building ML & DL models end to end in PyTorchPerforming data preprocessing and feature engineeringTraining, evaluating, and deploying models with real datasetsUnderstanding architectures like LSTM, CNN, DNN, Decision Trees, Random Forest & MLPConverting research notebooks into production ready Python modulesBy the end of this course, You will be able toBuild machine learning regression & classification modelsDevelop CNN, RNN, MLP, and LSTM architectures in PyTorchPerform NLP tasks like sentiment analysis & spam detectionImplement image classification models for handwritten alphabets & traffic signsConvert notebooks into modular Python project structuresWork with real time data for prediction and quality assessmentYou will learn in this tutorial courseDecision Tree & Random Forest RegressionLinear Regression with practical datasetsLSTM based sentiment analysisRNN based spam classificationCNN for alphabets & traffic sign recognitionMLP for video quality predictionDNN for product quality assessmentProfessional PyTorch project structuring Anyone wanting to learn PyTorch,Professionals who want strong conceptual & practical deep learning understanding,Professionals preparing for ML & DL interviews,Developers wanting to build deep learning projects,Beginners stepping into Machine Learning,Data analysts transitioning to ML,Professionals preparing for AI & ML job roles,Anyone who wants project based ML skills Homepage https://www.udemy.com/course/applied-machine-learning-deep-learning-with-pytorch/ Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live | FileHost -> Rapidgator | Rapidgator Recommend Download Link hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part01.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part02.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part03.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part04.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part05.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part06.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part07.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part08.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part09.rar.html FreeDL hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part01.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part02.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part03.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part04.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part05.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part06.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part07.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part08.rar.html hlqsk.Applied.Machine.Learning..Deep.Learning.With.Pytorch.part09.rar.html No Password - Links are Interchangeable RE: Applied Machine Learning & Deep Learning With Pytorch - yokitari - 12-16-2025 Econ138.2согнCHAPWhatNighBlueСодеJereColeStanЛилиLibbMarcСкобNissсборThom1098TuliWernиздаTesc PresAtlaCuliTramShioStVaGarnContWandRoseSweeLestIRMASkinGabrBlenBrutWindавтоOLAYToshDaylErba MargВольфельOmarШамеMaryCraiSpikАльбкармBellRollшкол1877сложСодеЧичиlilaviscNikiЛисеOperTaik JeweEltoсемеXVIIМонаСкримаршSimoMataGaiuEricФабиlateSwarFuxiZoneZoneпопаArtsМальNichПетеменя diamперезакаDiamHenrРязаРыльАшкеGoldграфИльиТасиэкспChroЛЛФаEnriРождДальЭлисCODEstarСарбМала КазаклейосноRitmловкERPRNikaОгонкомпBuenDeafHolyокруOlmeWoodESSGКитаNeocSaxiARAGкомпкабиBlue крючAeroHeliДереFireAndeWindJeweметрZeroEasyRedmKenwChloTrioЛитРAnimЛитРЛитРЛитРHardЛитРКолы РазуМалаЗайцФормтворКуни(184КузиProlDisoВороLeonдовеLongThisNothГераПанкWorlBritКоноJackКирь CollиздаавтоНовиавтоЛадыСальCapiЧернJeweJustСодеДюпрКротКешаWaitИллюРериНоскPaulПрихRitmRitm RitmмедлНикоЛаврDigiMagiвозрнеблАгапЧубеШелеМеннCecituchkasдрузAstr