Apr 24 2024 Deep Learning With Pytorch: Predicting Global Gold Price BaDshaH LEARNING / e-learning - Tutorials 06:11 0 Published 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 464.59 MB | Duration: 1h 4mSequential Data Prediction Using LSTM Model with PyTorch What you'll learnperform comprehensive data exploratory analysis, including data preprocessing, visualization, and feature engineering using Pythonapply deep learning methods to predict global gold prices, utilizing Python and PyTorch.evaluate the performance of deep learning models using appropriate metricsextend acquired skills to other sequential prediction scenariosRequirementsFamiliarity with Python syntax, data types, and basic operationsDescriptionThe global precious metal market (e.g., gold, silver, etc.) has significantly grown over the past decades and is expected to grow in future. Specifically, gold, a highly liquid asset, plays a crucial role in preventing individuals and organizations from the adverse effects of a declining dollar. Accurately predicting gold prices not only allows us to uncover evolving patterns in asset prices but also offers opportunities to make strategic investment decisions. Such knowledge is important for both investors and those new to the financial markets.This course introduce deep learning predictive analytics focusing on the global gold market. It provides detailed guidelines for analyzing and forecasting future gold prices using advanced deep learning models, such as Long Short-Term Memory (LSTM) network. Throughout the course, students will gain hands-on experience in conducting exploratory data analysis, mastering feature engineering, and building robust deep learning models using Python/PyTorch. This practical approach ensures students understand the theoretical underpinnings and apply knowledge effectively in real-world scenarios.At the end of this class, students are expected to be proficient in utilizing deep learning models (e.g., LSTM) for time series analysis and extend these applications to other domains (e.g., stock market prediction, trend analysis, temperature forecast, etc.)OverviewSection 1: Explore and Visualize Gold Price DataLecture 1 Explore and Visualize Gold Price DataSection 2: Feature EngineeringLecture 2 Feature EngineeringSection 3: Tensor Data Preparation and LSTM Model ConstructionLecture 3 Tensor Data Preparation & Model ConstructionSection 4: Predictive Model Training and EvaluationLecture 4 Predictive Model Training and EvaluationSection 5: Model Performance ImprovementLecture 5 Model Performance Improvementpython developers,people who love data science and predictive analyticsHomepagehttps://www.udemy.com/course/deep-learning-with-pytorch-predicting-global-gold-price/https://rapidgator.net/file/34d5506afa2d78ebc1a674b4ba7df679https://ddownload.com/1p3l3pgbbgw6 Related News Deep Learning: Python Deep Learning MasterclassDiploma in Business Management and MBA EssentialsUdemy - Complete Machine Learning & Data Science with Python | A-ZPython & Data Science with R | Python & R ProgrammingPython - Complete Python, Django, Data Science And Ml Guide Comments (0)Add comment Submit NEWEST RELEASES 06.05: LuBan 3D 19.04.2024 Multilingual Portable 06.05: ReaConverter Pro 7.808 Multilingual Portable 06.05: Appsforlife Origami 3.3.4 06.05: Zortam Mp3 Media Studio Pro 31.80 Multilingual 06.05: MaxCut Business Edition 2.9.2.2 Multilingual 06.05: TubePro 6.0 R1 06.05: dBpoweramp Music Converter Reference 2024.05.01 06.05: Asoftis IP Changer 1.7 06.05: Danil Pristupov Fork 1.96.1 06.05: VovSoft Watermark Video 2.1 Recommended Filehosts Freinds Site