AI and ML Full Course 2024 for Beginners | Machine Learning Tutorial in Kannada | MicroDegree

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🚀 Unlock AI & ML with our beginner-friendly course! 🤖📚

Before we start, watch our Python full course video 📹 to build a strong foundation: https://www.youtube.com/watch?v=i5B9JPq3MbI

Level up your AI & ML skills with our course 🚀:
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👋 Hi, I’m Rakesh, Co-founder of Microdegree. Welcome to our AI & ML course for beginners! Learn from scratch with live examples, explained in simple terms. Our industry experts will guide you through basics to real-world applications, preparing you for interviews and practical use. I have explained everything in Kannada so that it is easily understandable to you.

AI ಮತ್ತು ML ಕೋರ್ಸ್‌ಗೆ ಸ್ವಾಗತ! ಸರಳ ಉದಾಹರಣೆಗಳ ಮೂಲಕ ಪ್ರಾರಂಭಿಕ ನಿಯಮಗಳನ್ನು ತಿಳಿಯಿರಿ. Industry Experts ನಿಮ್ಮನ್ನು ಪ್ರಾಕ್ಟಿಕಲ್ ಉಪಯೋಗಕ್ಕೆ ಮತ್ತು ಸಂಭಾಷಣೆಗಳಿಗಾಗಿ ಸಿದ್ಧಗೊಳಿಸುತ್ತಾರೆ.

Start with the basics of Machine Learning, its real-world applications, and the differences between AI, ML, and Deep Learning. Explore core learning types: supervised, unsupervised, and reinforcement.

Understand the Machine Learning lifecycle from data collection to model evaluation and see how it differs from traditional software engineering. Learn practical Python applications like linear regression, covering data handling, model building, and addressing issues like underfitting and overfitting. Move on to logistic regression, mastering data setup, feature engineering, and future data prediction.

Explore how ML algorithms learn with a focus on Naive Bayes, including classification vs. regression, customer segmentation, data cleanup, model training, and confusion matrices.

By the end, you’ll have the knowledge and skills to build predictive models and analyze data patterns. Join us and start your Machine Learning journey today!

Contents of this video:
00:00 – Introduction
00:54 – What is Machine Learning?
04:40 – Applications of Machine Learning
11:17 – AI vs ML vs DL
16:59 – Machine Learning LifeCycle
31:02 – Traditional Software Engineering vs Machine Learning
35:08 – Basics Summary
36:47 – Intro to Linear Regression
37:39 – Linear Regression – Understanding Data
40:30 – Linear Regression – Loading Data
45:26 – Linear Regression – Build & Test a Model
55:37 – Linear Regression – Finding Linearity
59:53 – Linear Regression – Understanding Linear Function & Shape
01:05:51 – Linear Regression – Merging Math Line & Training Data
01:09:28 – Linear Regression – Manual Training Line of Best Fit Regression Line
01:20:08 – Linear Regression – Root Mean Squared Error
01:34:50 – Linear Regression – Interfencing
01:39:05 – Linear Regression – Coefficient & Intercept
01:40:47 – Linear Regression – Bias & Variance
01:46:14 – Linear Regression – UnderFitting vs Overfitting
01:50:33 – Logistic Regression Intro
01:51:40 – Logistic Regression – Data Setup
01:59:11 – Logistic Regression – Data Cleanup & Feature Engineering – Part 1
02:07:34 – Logistic Regression – Data Cleanup & Feature Engineering – Part 2
02:18:19 – Logistic Regression – Data Cleanup & Feature Engineering – Part 3
02:24:36 – Logistic Regression – Predicting Future Tips Data – Part 1
02:31:37 – Logistic Regression – Predicting Future Tips Data – Part 2
02:40:12 – Logistic Regression – Predicting Future Tips Data – Part 3
02:46:44 – Logistic Regression – Predicting Future Tips Data – Part 4
02:52:04 – Logistic Regression – Predicting Future Tips Data – Part 5
03:00:40 – Logistic Regression – Theoretical Understanding – Part 1
03:10:09 – Logistic Regression – Theoretical Understanding – Part 2
03:26:00 – Logistic Regression – Theoretical Understanding – Part 3
03:32:20 – Logistic Regression Summary
03:34:43 – How ML Algorithms Learn – Part 1
03:51:00 – How ML Algorithms Learn – Part 2
04:14:18 – How ML Algorithms Learn – Part 3
04:23:20 – Naive Bayes – Intro
04:24:43 – Naive Bayes – Classification vs Regression
04:31:19 – Naive Bayes – What is Customer Segmentation
04:40:16 – Naive Bayes – Data Cleanup & Feature Engineering
04:57:48 – Naive Bayes – Train & Test
05:10:57 – Naive Bayes – Confusion Matrix
05:32:30 – Naive Bayes – How it Works?
05:53:00 – Naive Bayes – Summary

WHAT IS MICRODEGREE?

MicroDegree is an online education platform where we teach programming and job-ready IT Skills in Kannada.

OUR VISION – To empower local engineering talent from tier 1 & tier 2 cities with foundational clarity in technical concepts in Kannada and connect them with the right job opportunities.

For more detail reach out to [email protected]

For any queries call us at 0804-710-9999

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