Applied Machine Learning Specialization

Mode: Self-Paced Course[The course contains recordings of the LIVE Interactive sessions & High Quality Recorded modules]

Duration: Extensive 40+ hours of curriculum with hands-on projects meeting industry standards.

Access: Lifetime

Course Language: English

NOTE: A solid understanding of Python and Statistics is required to succeed in the Machine Learning Specialization.

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About the course

In this intensive Machine Learning Specialization, learners gain a deep understanding of core machine learning algorithms through a balanced focus on theory and hands-on implementation. The program is designed for individuals with foundational knowledge of programming and mathematics who want to build strong, practical machine learning skills.

Self-Paced Course, Lifetime Access

Watch Anywhere, Anytime

Learn from Basic to Advanced

Discuss with the Educator

Course Content:

Basic - Intermediate Machine Learning Learning Introduction

🎯 What is Machine Learning?
🎯 Types of Machine Learning
🎯 Machine Learning Applications Across Industries
🎯 Challenges of Machine Learning
🎯 Future of Machine Learning

Supervised Learning

🎯 Linear Regression

🎯 Bias- Variance Tradeoff and Regularization

🎯 Logistic Regression and Classification
🎯 Decision Trees

🎯 Naive Bayes
🎯 Support Vector Machines

Intermediate - Advanced Machine Learning
Unsupervised Learning

🎯K-Means Clustering Algorithm
🎯Hierarchical Clustering
🎯DBSCAN
🎯t-Distributed Stochastic Neighbor Embedding (t-SNE)
🎯Principal Component Analysis (PCA)

Boosting

🎯Introduction to Boosting Algorithms

🎯Differences between bagging and boosting
🎯Adaboost

🎯Gradient Boosting

🎯XGBoost

Projects Implementation

🎯 Machine Learning in Healthcare

🎯 Machine Learning in Financial Area

🎯 Capstone Project

Syllabus

Who can take this Course?

Tech Enthusiasts

Managers

Developers

Working Professionals

Freelancers

College Students

School Students

Interested Beings

Anyone who is looking to learn a new skill or upskill themselves can take this course

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All our programs include

Real world Projects

With real-world projects and immersive content you’ll master the tech skills companies want.

Technical Mentor Support

Our knowledgeable mentors guide your learning and are focused on answering your questions and keeping you on track.

LIVE Sessions

Get High-Quality LIVE Sessions that help you stay consistent and engaged with the course

Doubt clearing

Doubt would be discussed in the live classes

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Meet Your Mentor

Priya Bhatia, a master's graduate in AI from IIT Hyderabad, received the prestigious Reliance Foundation scholarship for her excellence in AI and computer science. She authored an IEEE-published research paper on AI in healthcare, showcasing her ability to contribute to technological advancements. With over three years of experience in Data Science with companies like Thales and iNeuron.ai, Priya has applied her academic knowledge to real-world challenges, delivering data-driven solutions. Alongside her professional achievements, she is a dedicated mentor and public speaker in Data Structures and Algorithms (DSA) and Data Science. Through her YouTube channel, "Priya Bhatia," she shares educational content, solidifying her role as a distinguished figure in the AI and Data Science field.

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Applied Machine Learning Specialization

About the course

Self-Paced Course, Lifetime Access

Watch Anywhere, Anytime

Learn from Basic to Advanced

Discuss with the Educator

Course Content:

Syllabus

Who can take this Course?

All our programs include

Real world Projects

Technical Mentor Support

LIVE Sessions

Doubt clearing

Meet Your Mentor

Course Feedback