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Machine Learning Foundation

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Anil Bidari

2:30:35

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  • 1. Define Machine Learning Part-1.mp4
    08:02
  • 2. Define Machine Learning Part-2.mp4
    05:28
  • 3. Supervised and Unsupervised Learning Part-1.mp4
    05:28
  • 4. Supervised and Unsupervised Learning Part-2.mp4
    04:09
  • 5. Reinforcement Learning.mp4
    04:11
  • 6. Difference between ML Types.mp4
    07:32
  • 7. Neural Networks.mp4
    03:57
  • 8. Applications of Deep Learning.mp4
    02:10
  • 9. ML Algorithms Decision Trees.mp4
    03:48
  • 10. ML Algorithms Linear Regression.mp4
    05:37
  • 11. ML Algorithms CNN.mp4
    05:06
  • 12. ML Algorithms RNN.mp4
    05:30
  • 13. Summary of ML Algorithms.mp4
    03:07
  • 14. Data Prep and Cleaning.mp4
    03:59
  • 15. Evaluating Machine Learning Models.mp4
    04:32
  • 16. Ethics in Machine Learning.mp4
    01:57
  • 17. Future of Machine Learning.mp4
    03:00
  • 1.1 Resource-guides-ML-foundation.zip
  • 1. Demo Numpy Labs.mp4
    07:48
  • 2. Demo Pandas.mp4
    08:19
  • 3. Demo Numpy and Pandas.mp4
    03:57
  • 4. Demo Supervised Learning Part-1.mp4
    08:48
  • 5. Demo Supervised Learning Part-2.mp4
    06:24
  • 6. Demo Supervised Learning Part-3.mp4
    02:39
  • 7. Demo Supervised Learning Part-4.mp4
    04:39
  • 8. Demo Unsupervised Learning Part-1.mp4
    05:21
  • 9. Demo Unsupervised Learning Part-2.mp4
    09:10
  • 10. Demo Linear Regression Single Variable.mp4
    07:27
  • 11. Demo Linear Regression Multi Variable.mp4
    08:30
  • Description


    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

    Who is this 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.
  • What You Need to Know?


  • 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.
  • More details


    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.

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    Anil Bidari is a distinguished trainer specializing in Generative AI, Cloud, and DevOps, with over 18 years of industry experience.He ia AWS Authorised Instructor and  Google Cloud instructor and DevOps consultant, Anil has developed extensive expertise in AWS, Google Cloud, and Azure platforms. He has pioneered the creation of private GPT models, AI avatars for broadcasting AI news, and various AI-driven solutions. Anil's hands-on training programs, delivered globally, empower professionals with cutting-edge skills in cloud computing, AI, and DevOps, making him an exceptional mentor for those aspiring to excel in these dynamic fields.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 28
    • duration 2:30:35
    • Release Date 2024/07/24