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PyTorch for Business Forecasting & Predictive Analytics - OneDDL - 11-22-2025 Free Download PyTorch for Business Forecasting & Predictive Analytics Published 11/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 58m | Size: 4.5 GB Build LSTM, ANN, DNN & MLP Models for Sales, Demand, CLV & Customer Behavior Prediction What you'll learn Build LSTM models for demand, ERP sales, and anomaly detection Use ANN, MLP, DNN for cross sell, CLV, promotional success & regional sales analysis Convert business datasets into deep learning training pipelines Evaluate and deploy business prediction models in PyTorch Requirements Basic Python knowledge No prior ML experience needed No prior PyTorch experience needed Understanding of CSV or Excel data Description Course DescriptionThis tutorial course provides a practical, business oriented introduction to deep learning using PyTorch. You will learn how to build predictive models that solve real industry problems, such as forecasting inventory demand using LSTM, predicting customer lifetime value, identifying cross sell opportunities with ANN, detecting sales anomalies, measuring promotion performance using MLP, and comparing regional sales with DNN models.Throughout this tutorial course, you will work hands on with real datasets, learn how to preprocess business data, design neural network architectures, train models step by step, evaluate accuracy, and interpret results for business decision-making. This tutorial course is designed to help professionals move from simple ML concepts to fully functional deep learning models used in retail, ERP, Finance, Supply chain, and CRM analytics. This Tutorial course primarily focuses on Applying deep learning techniques to solve real world business forecasting problems such as demand prediction, sales analysis, customer behavior forecasting, and promotional performance measurement.By the end of this tutorial course, you will be able toBuild LSTM models for demand, ERP sales, and anomaly detectionUse ANN, MLP, DNN for cross sell, CLV, promotional success & regional sales analysisConvert business datasets into deep learning training pipelinesEvaluate and deploy business prediction models in PyTorchIn this tutorial course, You will learn, how to build end to end predictive analytics models such asInventory demand predictor using LSTMCLV forecaster using PyTorchANN model for cross selling & repeat customer predictionLSTM model for sales trend & anomaly detectionMLP & DNN for promotional success & regional performance scoring Who this course is for Data Analysts Machine Learning Pro Business Intelligence Professionals ERP, CRM, Finance Domain Users Professionals who want to learn Predictive Modeling Professionals preparing for AI, ML Job Roles Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable