Machine Learning for Beginner

Ever wondered how Netflix knows you better than your mom? Learn the magic of Machine Learning—where data turns into smart predictions, automation, and eerily accurate recommendations .

Created by

Vivaan Malhotra

Hours

3 Enrolled

(0 Reviews)

English

Last updated

Thu, 24-Apr-2025

Course description

Machine learning (ML) is transforming industries at a breakneck speed, from healthcare and finance to marketing and entertainment. Whether you want to future-proof your career, switch to data science, or simply understand how Netflix knows exactly what you want to watch, this course is your starting point.

you’ll explore:

Supervised & Unsupervised Learning: Understand algorithms like linear regression, decision trees, and k-means clustering.
Model Evaluation: Learn how to measure accuracy and fine-tune your models.
Python & ML Libraries: Get hands-on with essential tools like Pandas, NumPy, and Scikit-Learn.
Real-World Applications: Apply your skills to projects involving customer behavior prediction, image recognition, and more.

What will i learn?

Crack ML fundamentals with confidence: Master core concepts like regression, classification, and clustering—the building blocks of AI.
Build & deploy real models: Create prediction engines using Python and deploy them on platforms like Google Colab.
Transform raw data into insights: Learn to spot trends, detect patterns, and visualize data like a pro.
Master essential ML libraries
Boost your portfolio with projects: Apply your skills to real-world mini-projects, making your portfolio job-ready and impactful.

Requirements

Curiosity > Experience: No prior coding knowledge is required, but having a basic understanding of math concepts (like averages, percentages, and plotting graphs) will give you a head start.
Logical thinking skills: Since ML involves pattern recognition, having a knack for problem-solving and spotting trends will be a plus.
Time commitment: At least 4-5 hours per week for consistent learning and practice.

Frequently asked question

No. This course is designed for complete beginners. You’ll be guided through all coding steps.

We’ll use Python, the most widely used language for machine learning due to its simplicity and versatility.

Yes! Upon completing the course, you’ll receive a certificate of completion to add to your portfolio or LinkedIn profile

You’ll have access to community support and detailed solutions to help you overcome any challenges.

Vivaan Malhotra

Teaching Tech. Not for Grades—But for Problem-Solvers. I build courses for the relentless ones—those who refuse to be just students. The ones who want to create, not consume. With industry-worn hands, I teach what the textbooks can’t: how to think, build, and break limits. This isn’t education. It’s a toolkit for disruption." Where 70% of tech grads struggle with employability, my courses turn them into portfolio-backed creators—ready to own the future, not chase it.

Vivaan Malhotra is a tech educator, digital innovator, and mentor driven by the mission to turn learners into creators. With years of industry experience in full-stack development, AI, and automation, Vivaan courses that bridge the gap between theory and real-world application.At Shikshart, he empowers students with hands-on skills, guiding them to build projects, solve real problems, and create portfolios that stand out. His teaching philosophy is simple: - Learn by doing No textbook theories—only practical execution.No certificates without skills—only proof of work.No learners left behind—only future-ready disruptors.In a landscape where 85% of jobs by 2030 haven’t even been invented yet, Vivaan courses future-proof students with adaptive, industry-relevant expertise.His goal isn’t to create graduates—it’s to build innovators equipped to thrive in uncertainty.

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Free

Lectures

0

Skill level

Beginner

Expiry period

Lifetime

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