Day 2: Supervised Learning Explained | Machine Learning for Beginners (Real-Life Examples)
Welcome to Day 2 of our Machine Learning series!
In this video, we’ll simplify Supervised Learning with everyday examples and walk through how machines learn from labeled data.
🎯 What you'll learn:
What is Supervised Learning?
Real-life use cases (Email spam, YouTube categories, etc.)
Types: Classification vs Regression
Simple explanation anyone can understand
#MachineLearning #Python #MLForBeginners
No coding required today — just crystal-clear understanding!
🔔 Subscribe and stay tuned for Day 3 where we build our first supervised model in Python!
👨🏫 Perfect for beginners and students.
🎓 Learn ML the easy way — one day at a time.
______________________
📺 Missed previous videos of Machine Learning?
🔗 [Day 1: Learn ML from Scratch – Day 0] (https://youtu.be/ixMJ69JB2ZE)
🔗 [Day 2: Day 2: Supervised Learning Explained] (https://youtu.be/BVd0sSg__1M)
🔗 [Day 3: Classify YouTube Video Titles using Machine Learning | TF-IDF + Logistic Regression Demo] (https://youtu.be/XzKAXoAkbUk)
⏯️ Watch full playlist:
👉 Machine Learning for Beginners - 30 Day Series
🔔 Don’t forget to Like, Subscribe & Share this with your friends learning Python!
──────────────
📚 Watch the full Machine Learning for Beginners ➤https://www.youtube.com/playlist?list=PLCIHSyz6cjYPWiNureUe1_wiYtUrAm6z3
🔔 Subscribe for daily Machine Learning and Python series videos ➤ https://www.youtube.com/@AICodewithSuresh?sub_confirmation=1
──────────────
⏱️ Timestamps: Day 2 – Supervised Learning in Machine Learning
00:00 Introduction to the Machine Learning Series
00:36 Topic 1: What is Supervised Learning?
01:03 Topic 2: Simple Analogy for Easy Understanding
01:37 Topic 3: Types of Supervised Learning – Classification & Regression
02:08 Topic 4: Understanding Regression with Example
02:45 Example: YouTube Video Category Assignment (Multi-class Classification)
03:23 Machine Learning Workflow – 8 Important Steps
03:59 Step 1: Define the Problem – Predicting Video Categories
04:18 Step 2: Collect Labeled Data
04:43 Step 3: Preprocess the Data
05:07 Step 4 & 5: Choose Model and Train the Model
05:44 Step 6 & 7: Test and Deploy the Model
06:20 MCQ Time – 10 Questions & Answers on Supervised Learning
07:16 Wrap-up Day 2 & Preview of Day 3 – Regression (Linear vs Logistic Simplified)
Видео Day 2: Supervised Learning Explained | Machine Learning for Beginners (Real-Life Examples) канала AI & Code with Suresh
In this video, we’ll simplify Supervised Learning with everyday examples and walk through how machines learn from labeled data.
🎯 What you'll learn:
What is Supervised Learning?
Real-life use cases (Email spam, YouTube categories, etc.)
Types: Classification vs Regression
Simple explanation anyone can understand
#MachineLearning #Python #MLForBeginners
No coding required today — just crystal-clear understanding!
🔔 Subscribe and stay tuned for Day 3 where we build our first supervised model in Python!
👨🏫 Perfect for beginners and students.
🎓 Learn ML the easy way — one day at a time.
______________________
📺 Missed previous videos of Machine Learning?
🔗 [Day 1: Learn ML from Scratch – Day 0] (https://youtu.be/ixMJ69JB2ZE)
🔗 [Day 2: Day 2: Supervised Learning Explained] (https://youtu.be/BVd0sSg__1M)
🔗 [Day 3: Classify YouTube Video Titles using Machine Learning | TF-IDF + Logistic Regression Demo] (https://youtu.be/XzKAXoAkbUk)
⏯️ Watch full playlist:
👉 Machine Learning for Beginners - 30 Day Series
🔔 Don’t forget to Like, Subscribe & Share this with your friends learning Python!
──────────────
📚 Watch the full Machine Learning for Beginners ➤https://www.youtube.com/playlist?list=PLCIHSyz6cjYPWiNureUe1_wiYtUrAm6z3
🔔 Subscribe for daily Machine Learning and Python series videos ➤ https://www.youtube.com/@AICodewithSuresh?sub_confirmation=1
──────────────
⏱️ Timestamps: Day 2 – Supervised Learning in Machine Learning
00:00 Introduction to the Machine Learning Series
00:36 Topic 1: What is Supervised Learning?
01:03 Topic 2: Simple Analogy for Easy Understanding
01:37 Topic 3: Types of Supervised Learning – Classification & Regression
02:08 Topic 4: Understanding Regression with Example
02:45 Example: YouTube Video Category Assignment (Multi-class Classification)
03:23 Machine Learning Workflow – 8 Important Steps
03:59 Step 1: Define the Problem – Predicting Video Categories
04:18 Step 2: Collect Labeled Data
04:43 Step 3: Preprocess the Data
05:07 Step 4 & 5: Choose Model and Train the Model
05:44 Step 6 & 7: Test and Deploy the Model
06:20 MCQ Time – 10 Questions & Answers on Supervised Learning
07:16 Wrap-up Day 2 & Preview of Day 3 – Regression (Linear vs Logistic Simplified)
Видео Day 2: Supervised Learning Explained | Machine Learning for Beginners (Real-Life Examples) канала AI & Code with Suresh
#MachineLearning #MLSeries #SupervisedLearning #DataScience #Python #Coding #AI #Colab #Beginners #LearnML #Tfidf #LogisticRegression #YouTubeML #ModelTraining #Classification #Regression #MLWorkflow #MLDemo #PythonML #MLBeginners #RealWorldML #ColabTutorial #MLExamples #AIBasics #MLModel #TextClassification #MLSteps #FeatureEngineering #TFIDFVectorizer #Sklearn #MLProjects #MLWithPython #MLInColab #YouTubeClassifier #MachineLearningDemo #MLForAll
Комментарии отсутствуют
Информация о видео
13 ч. 4 мин. назад
00:08:02
Другие видео канала