Machine Learning Foundation by Anil Bidari
Free Download Machine Learning Foundation by Anil Bidari
Published 6/2024
Created by Anil Bidari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 28 Lectures ( 2h 30m ) | Size: 2.34 GB
ML Foundation - 15% theory 85% hands-on Lab
What you'll learn:
This course - you consume the e-learning self paced content as per your time.
Understand Linux and Python: Gain foundational knowledge of Linux and Python, essential for developing and deploying AI applications.
Master Machine Learning Concepts: Learn the core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation,
Devlop machine learning Models from scratch
Requirements:
This is a Zero to Hero program, designed to take learners from beginners to advanced levels, making it accessible even for non-coders.
The course starts with foundational topics such as Linux and Python, progresses through Machine Learning.
Description:
Unlock the Power of Machine Learning with Our Comprehensive Foundation Course!Are you ready to dive into the exciting world of machine learning? Our "Machine Learning Foundation" course is designed to equip you with the essential skills and knowledge needed to master this cutting-edge field. Whether you are a beginner or looking to enhance your expertise, this course is tailored to meet your needs.Why Choose This Course? Enjoy of 15% theory and 85% hands-on labs. Expert Guidance: Learn from industry-leading experts who bring real-world experience.Hands-On Projects: Gain practical experience by working on real-world projects and applications, ensuring you can apply your skills immediately.Comprehensive Curriculum: Covering key topics such as data preprocessing, model building, and algorithm optimization, our curriculum is designed to give you a solid foundation in machine learning.Flexible Learning: Our online format allows you to learn at your own pace, anytime and anywhere.What You'll Learn:- Fundamental concepts of machine learning and data science.- How to preprocess and clean data for optimal model performance.- Building and evaluating various machine learning models.- Techniques for improving and tuning model accuracy.- Practical applications and case studies to reinforce learning.Who Should Enroll?- Aspiring data scientists and machine learning enthusiasts.- Professionals looking to upskill and stay competitive in the job market.- Students and academics seeking to understand the fundamentals of machine learning.Join us and transform your career with the "Machine Learning Foundation" course. Enroll now and start your journey towards becoming a machine learning expert!
Who this course is for:
This course is ideal for anyone interested in entering the field of AI, including beginners with no prior coding experience. It is also suitable for professionals looking to expand their knowledge in Linux, Python, Machine Learning, Whether you are a student, an aspiring data scientist, or a tech enthusiast, this comprehensive pathway will equip you with the necessary skills to excel in the AI domain.
Homepage
https://www.udemy.com/course/machine-learning-foundation-15-theory-85-hands-on-lab/Rapidgator
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