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Machine Learning Green Belt

(2 customer reviews)

Original price was: ₹4,248.00.Current price is: ₹850.00.

Become a Machine Learning Green Belt Today!

Unlock the power of Machine Learning in just 12 hours! Industry-expert curated, hands-on learning with Python. Master supervised and unsupervised techniques and transform your skills.

  • This is a 12 hours pre-recorded course where you will learn Everything about Machine Learning
  • This course gets added to Course Dashboard in your account after the purchase
  • Check the course page here for more details. Return back to this product page for purchase
  • 20% additional discount for students. Share a copy of your student ID card at info@ambilio.com and get a coupon

Description

Welcome to the Machine Learning Green Belt course – your gateway to the dynamic world of Machine Learning!

Are you intrigued by the possibilities that Machine Learning offers but have little to no prior experience? This course is tailor-made for you.

In this hands-on journey, we’ll demystify Machine Learning from the ground up. From understanding the core principles of supervised and unsupervised learning to practical implementations using Python and Scikit-Learn, we’ll equip you with the essential skills to tackle real-world challenges.

By the course’s end, you’ll have a robust grasp of Machine Learning concepts and techniques, ready to apply them confidently to your own projects. Whether you’re seeking to enhance your career or embark on exciting new data-driven endeavors, this course provides the foundational knowledge you need.

Join us in exploring the limitless possibilities of Machine Learning and take your first step towards becoming a Machine Learning Green Belt. Get ready to transform data into knowledge!

What You’ll Learn?

  1. Detailed understanding of machine learning its all the important techniques
  2. In-depth coverage on hands-on implementations of machine learning algorithms
  3. Learn from data preprocessing to feature engineering to advanced ML model building
  4. Learn to evaluate the performance of Machine Learning models.
  5. Apply Machine Learning techniques to real-world problems.

Machine Learning Green Belt Course Outline

  • Getting Familiar
    • Introduction and Overviews
    • AI and Machine Learning
    • Need for Machine Learning
    • Applications of Machine Learning
    • Machine Learning Use Cases
  • Getting Started
    • What is Machine Learning?
    • Supervised and Unsupervised Learning
    • Techniques of Supervised Learning
    • Techniques of Unsupervised Learning
  • Supervised Machine Learning - Classification
    1. Classification Techniques
      1. Logistic Regression
      2. Decision Tree
      3. Random Forest
      4. K-Nearest Neighbours
      5. Naive Bayes
      6. Support Vector Machine
  • Supervised Machine Learning - Regression
    • Regression Analysis
      • Simple Linear Regression
      • Multiple Linear Regression
      • Decision Tree Regression
      • Random Forest Regression
      • Support Vector Regression
      • Lasso and Ridge Regression
  • Boosting Techniques
    • Boosting Overview
      • Gradient Boosting
      • AdaBoost
      • XGBoost
  • Unsupervised Machine Learning
    • Clustering Techniques
      • K-Means Clustering
      • Hierarchical Clustering
    • Principal Component Analysis
    • Anomaly Detection
  • Artificial Neural Networks
    1. Overview
    2. ANN Architectures
    3. ANN for Classification
    4. ANN for Regression
  • Handouts
    • Reference Materials
    • Notebook Links

FAQs

  • Who can attend this course?

    This course is suitable for beginners as well as professionals who want to establish their careers in the BFSI analytics space.

  • What is the mode of delivery?

    This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.

  • Will there be an instructor also in this course?

    Yes, an instructor will be there for in-person delivery and online (instructor-led) delivery.

  • What are the prerequisites to attend this course?

    Basic understanding of data analysis, machine learning, python, and mathematics is required to attend this course.

  • How difficult is this course to learn?

    The course has beginner-level difficulty.

  • What job roles can i take if i attend this course?

    Data scientists, Data Analyst, BFSI Analyst, and other relevant analytics roles can be explored in BFSI domain after taking this course.

  • Who can get the certificate?

    All attendees who complete all sections of the course along with the capstone project will get the certificate.

  • How the completeness of each section is measured in the course?

    There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.

2 reviews for Machine Learning Green Belt

  1. Vrushali Ranade

    Good course covering almost everything about machine learning. Nice experience.

  2. Jennifer Miller

    More than enough coverage of machine learning algorithms. Had a good learning experience.Much recommended course.

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