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Simplified Machine Learning End to End™

person icon Dr. Noble Arya

4.2

Simplified Machine Learning End to End™

With Case Study This comprehensive course offers an in-depth journey into Machine Learning and Data Science

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Dr. Noble Arya

category icon IT and Software ,Other IT and Software,Python

Lectures -15

Duration -6.5 hours

Lifetime Access

4.2

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Course Description

This all-encompassing course is going to take one on an intense journey through machine learning and Data Science, that keeps a focus both on the art of model building and evaluation, as well as data interpretation, solving actual problems with both supervised and unsupervised learning techniques. Most concepts are applied with both Python and R.

Most important topics that are introduced include regression, classification, clustering, and dimensionality reduction. Major model evaluation tools covered in the course include the Bias-Variance Tradeoff, and cross-validation. Introductory chapters on powerful libraries like NumPy, Pandas, Scikit-learn, and t-SNE are also part of the course, as well as statistical modeling in R.

Whether you're a beginner or aspire to know more in depth in Machine Learning, this course grooms you with the foundation and deeper insights for dominating the data science tools and methods. It is, therefore, apt for aspiring data scientists, analysts, or those enthusiastic about AI.



.
.
Courtesy,

Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness Expert
Founder of Noble Transformation Hub TM

Goals

What is the Introduction to Machine Learning?, basics and types of Machine Learning?

ML Unsupervised Learning: Learn concepts and techniques of Unsupervised Learning.

Supervised Learning - Regression: Master regression models as they predict continuous outcomes.

Evaluation Metrics for Regression Model:- Evaluate regression models using metrics like MSE, RMSE, and R-squared.

Supervised Learning - Classification in Machine Learning:- Learn algorithms of classification used to do categorical prediction.

Supervised Learning - Decision Trees: Understand how the concept of Decision Trees works for both classification and regression.

Unsupervised Learning - Clustering: Understand how clustering occurs over data points with multiple techniques within clustering.


Prerequisites

Basic Understanding of Mathematics Familiarity with linear algebra, probability, and statistics is helpful.

Basic Analytical and Problem-Solving Skills Ability to think critically and solve complex problems.

Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.

Simplified Machine Learning End to End™

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Machine Learning

1 Lectures
  • play icon Introduction to Machine Learning 30:20 30:20

ML Unsupervised Learning

1 Lectures
Tutorialspoint

Supervised Learning- Regression

1 Lectures
Tutorialspoint

Evaluation Metrics for Regression Models

1 Lectures
Tutorialspoint

Supervised Learning- Classification in Machine Learning

1 Lectures
Tutorialspoint

Supervised Learning- Decision Trees

1 Lectures
Tutorialspoint

Unsupervised Learning- Clustering

1 Lectures
Tutorialspoint

Unsupervised Learning DBSCAN Clustering

1 Lectures
Tutorialspoint

Unsupervised Learning- Dimensionality Reduction

1 Lectures
Tutorialspoint

Unsupervised Learning- Dimensionality Reduction with t-SNE

1 Lectures
Tutorialspoint

Model Evaluation and Validation Techniques

1 Lectures
Tutorialspoint

Introduction to Python Libraries for Data Science

1 Lectures
Tutorialspoint

Introduction to Python Libraries for Data Science

1 Lectures
Tutorialspoint

Introduction to R Libraries for Data Science

1 Lectures
Tutorialspoint

Introduction to R Libraries for Data Science Statistical Modeling

1 Lectures
Tutorialspoint

Instructor Details

Dr. Noble Arya

Dr. Noble Arya

Dear Esteemed Lifelong Learner,
Warm greetings.
I am Dr. Noble Arya, a Full-Stack Data Scientist, AI/ML Researcher, and Product Innovator with extensive experience across leading global organizations, including General Electric (GE) and Wipro Technologies.
As the founder of NobleX Infinity Labs®️, a globally recognized platform with prestigious TM® certification, I have had the privilege of mentoring over 100,000 students and 500+ educators across 170 countries. Our educational programs consistently maintain an average course rating of 4.7 out of 5 stars, as rated by more than 100,000 learners.
Academically, I hold a Honorary Doctorate in Artificial Intelligence and Machine Learning, and I am a certified graduate of the Post Graduate Program in Artificial Intelligence and Machine Learning from The University of Texas at Austin, in collaboration with Great Learning. My journey also includes 15+ years of dedicated research and application in AI/ML, Data Science, Deep Learning, and Value Innovation, with a strong grounding in the principles of Pure Consciousness.
I have been honored with over 300 national and international awards in recognition of my contributions to Future Skills, Creativity, Technological Innovation, and Ethical AI. My areas of expertise include Computer Science, Artificial Intelligence, Design Thinking, Super Pure Consciousness, and Value Innovation—acquired through both formal training and self-directed study.
Over the years, I have collaborated with prestigious institutions and organizations such as the Himalayan Institute of Alternatives (Ladakh), Teach for India, Harvard Medical School, University of Texas at Austin, and Toastmasters International. As an entrepreneur, I have successfully scaled two startups from grassroots family initiatives to nationally and internationally recognized enterprises.
My skillset encompasses a broad spectrum, including:-
Real-World Digital and Future Skills
Pure Consciousness and Value Technology
Project Management and Entrepreneurship
Artificial Intelligence and Computer Science
Data Science, Machine Learning, Deep Learning, Design Thinking and Product Development
Having completed over 100 projects in the past decade and a half, I am now committed to democratizing access to transformative education. Through my Udemy courses and YouTube channel, I aim to positively impact millions of learners. My vision for the coming decade is to empower 7 billion people worldwide, both online and offline, with real-life, problem-solving capabilities and ethical applications of AI—grounded in consciousness and compassion.
I invite you to join me on this transformative journey. Follow my work on Udemy and YouTube, and let us build a future where knowledge, technology, and human values uplift all 7+ billion people across the globe.
With deep gratitude to the Creator and to every atom and molecule across all universes, from the beginning to infinity.
With sincere regards,
Dr. Noble Arya
Full-Stack Data Scientist | AI/ML Researcher | Product Innovator

With gratitude till infinity,

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