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Data Science & Machine Learning Study Bootcamp From A to Z - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Data Science & Machine Learning Study Bootcamp From A to Z (/Thread-Data-Science-Machine-Learning-Study-Bootcamp-From-A-to-Z) |
Data Science & Machine Learning Study Bootcamp From A to Z - OneDDL - 06-06-2024 ![]() Free Download Data Science & Machine Learning Study Bootcamp From A to Z Published 6/2024 Created by Temotec Learning Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 119 Lectures ( 13h 31m ) | Size: 6 GB Master Python for Machine Learning & Data Science. Build AI apps, Ace Interviews & Land Your Dream Job. What you'll learn: Fundamentals of Data Science: Grasp the core concepts and principles underlying data science. Data Analysis with Python: Utilize Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. Machine Learning Algorithms: Understand and implement regression, classification, and clustering algorithms using Scikit-learn. Model Building and Evaluation: Learn to build predictive models and assess their accuracy with real-world datasets. Data Preprocessing Techniques: Master essential data cleaning, transformation, and feature engineering methods. Practical Applications: Apply data science skills to real-world projects and case studies. Model Deployment: Gain insights into deploying machine learning models in production environments. Career Preparation: Receive guidance on preparing for technical interviews and building a data science portfolio. Python Programming for Data Science: Solidify your Python skills for data science tasks. Data Visualization: Create informative and visually appealing data visualizations to communicate insights. Requirements: Basic Python programming knowledge is recommended, but not strictly required. The course will cover essential Python concepts for data science. A willingness to learn and experiment with data is essential. Access to a computer with an internet connection to install necessary software and libraries. No prior experience in data science or machine learning is required. Description: Welcome to the most in-depth and engaging Machine Learning & Data Science Bootcamp designed to equip you with practical skills and knowledge for a successful career in the AI field. This comprehensive course is tailor-made for beginners and aspiring professionals alike, guiding you from the fundamentals to advanced topics, with a strong emphasis on Python programming and real-world applications.Become a master of Machine Learning, Deep Learning, and Data Science with Python in this comprehensive bootcamp. This course is designed to take you from beginner to expert, equipping you with the skills to build powerful AI models, solve real-world problems, and land your dream job in 2024.Master the fundamentals of Data Science:Learn how to work with data effectively, from collection and cleaning to analysis and visualization.Master essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and exploration.Discover the power of data preprocessing techniques to enhance your model's performance.Unlock the potential of Machine Learning with Python ![]() ![]() Who this course is for: Beginners: Individuals with little to no experience in data science who want to gain a solid foundation. Aspiring Data Scientists: Those looking to build a career in data science or machine learning. Analysts and Professionals: Individuals working with data who want to enhance their skillset. Students: Students interested in exploring the field of data science. Python Enthusiasts: Anyone wanting to apply Python programming to data-related tasks. Career Changers: Professionals from other fields looking to transition into data science. Decision Makers: Managers and executives seeking to understand the potential of data science. pen_spark Curious Minds: Individuals interested in learning about the practical applications of machine learning. Tech Enthusiasts: Anyone fascinated by the advancements in artificial intelligence and data-driven technologies. Problem Solvers: Individuals who enjoy analyzing data and finding patterns to solve real-world challenges. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |