riversongs Posted April 3 Report Share Posted April 3 Free Download Udemy - Machine Learning A-Z - Hands-On Python & R In Data SciencePublished: 3/2025MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.36 GB | Duration: 0h 46mMaster Machine Learning with Python & R: A Practical, Hands-On GuideWhat you'll learnMaster Machine Learning using Python & RImplement models from scratch using real datasetsLearn Regression, Classification, Clustering & NLPMaster Boosting, Neural Networks & Deep LearningWork on real-world projects for portfolio buildingRequirementsBasic Math & Statistics - Mean, Variance, Probability, and Linear Algebra basicsBasic Programming - Some knowledge of Python and/or R will be beneficialLogic & Problem-Solving Skills - Understanding algorithms and logical thinkingDescriptionMachine Learning A-Z: Hands-On Python & R in Data Science is a comprehensive course designed to take you from beginner to expert in machine learning. This hands-on course covers the most important machine learning techniques, including regression, classification, clustering, reinforcement learning, and deep learning, using both Python and R.You'll gain practical experience by working on real-world datasets and building predictive models step by step. With clear explanations, coding exercises, and intuitive visualizations, this course ensures you understand both the theory and application of machine learning.What You'll Learn:Supervised & Unsupervised Learning techniquesRegression, Classification, and Clustering modelsNeural Networks and Deep Learning fundamentalsFeature Engineering and Model EvaluationImplementing ML algorithms in Python and RWhether you're a beginner or looking to sharpen your skills, this course will give you the confidence to apply machine learning to real-world problems and advance your career in data science.About the OrganizationEntrepreneurs Network and Business Advancement is a dynamic platform designed to connect, support, and empower entrepreneurs, business owners, and professionals. This network fosters collaboration, innovation, and growth by providing valuable resources, mentorship, and networking opportunities.What We Offer:Networking Opportunities - Connect with like-minded entrepreneurs, investors, and industry leaders.Business Growth Strategies - Gain insights into scaling your business, marketing, and financial planning.Workshops & Events - Attend expert-led sessions on leadership, innovation, and emerging business trends.Mentorship & Coaching - Learn from experienced business professionals to navigate challenges and accelerate success.Funding & Investment Support - Access information on venture capital, grants, and business funding options.Whether you are a startup founder, small business owner, or an aspiring entrepreneur, Entrepreneurs Network and Business Advancement provides the tools, connections, and knowledge to help you thrive in today's competitive business landscape.Absolute beginners interested in Machine Learning,Data Analysts looking to upskill in AI/ML,Software Developers transitioning into Data Science,Business Professionals who want to apply ML in their domain,Students & Researchers needing ML knowledge for projectsHomepage: https://www.udemy.com/course/machine-learning-a-z-hands-on-python-r-in-data-science/AusFilehttps://ausfile.com/7k86zydorjpm/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part1.rar.htmlhttps://ausfile.com/z36b4ax0a72t/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part2.rar.htmlRapidgator Links Downloadhttps://rg.to/file/e603283faf0b6b62a7bd17d940f9926a/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part1.rar.htmlhttps://rg.to/file/38d7a1c50606fb76750e9c4e41e64fdd/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part2.rar.htmlFikper Links Downloadhttps://fikper.com/yYrzYxNX1c/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part1.rar.htmlhttps://fikper.com/XJTnLKoiP4/gwxkv.Machine.Learning.AZ.HandsOn.Python..R.In.Data.Science.part2.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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