Machine Learning Green Belt
Original price was: $50.00.$10.00Current price is: $10.00.
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?
- Detailed understanding of machine learning its all the important techniques
- In-depth coverage on hands-on implementations of machine learning algorithms
- Learn from data preprocessing to feature engineering to advanced ML model building
- Learn to evaluate the performance of Machine Learning models.
- 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
- Classification Techniques
- Logistic Regression
- Decision Tree
- Random Forest
- K-Nearest Neighbours
- Naive Bayes
- Support Vector Machine
- Classification Techniques
- 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
- Regression Analysis
- Boosting Techniques
- Boosting Overview
- Gradient Boosting
- AdaBoost
- XGBoost
- Boosting Overview
- Unsupervised Machine Learning
- Clustering Techniques
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis
- Anomaly Detection
- Clustering Techniques
- Artificial Neural Networks
- Overview
- ANN Architectures
- ANN for Classification
- 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.
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Vrushali Ranade –
Good course covering almost everything about machine learning. Nice experience.
Jennifer Miller –
More than enough coverage of machine learning algorithms. Had a good learning experience.Much recommended course.