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Machine Learning Basics | Day 11/30 of Data Science in 30 Days | Data Science Full Course | #ml
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Data Science in 30 Days | Data Science Full Course Free | #datascience #fullcourse - Machine Learning Basics | Day 11/30 of Data Science in 30 Days | Data Science Full Course | #ml

Unlock Data Science Mastery in 30 Days: From Basics to Advanced Techniques with The Data Key! Dive Deep into Python, Visualization, Machine Learning, and More. Transform Your Skills with Expert Guidance and Hands-On Learning. Join Now!

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30 learners

What you'll learn

Understand the fundamentals of data science and its application
Learn Python basics and key libraries like NumPy and Pandas for data analysis
Explore data visualization techniques using Matplotlib and Seaborn
Gain knowledge in statistical, probability, and calculus concepts for data science

This course includes

  • 5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

Welcome to Day 11 of our “Data Science in 30 Days” series by The Data Key! In this video, we dive deep into one of the most important concepts in data science — Machine Learning (ML). ------------------------------------------------------------------------------------------------------------------------ 💻 What You’ll learn: ✅ What is Machine Learning? ✅ Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning ✅ Understanding Training Data, Testing Data, and Model Evaluation ✅ Key ML algorithms (Linear Regression, Decision Trees, KNN, etc.) ✅ Real-world applications of Machine Learning in industries ✅ Step-by-step workflow of building an ML model ------------------------------------------------------------------------------------------------------------------------- By the end of this video, you’ll have a strong foundation in Machine Learning and be ready to move towards more advanced ML algorithms and practical implementation using Python. ------------------------------------------------------------------------------------------------------------------------- 🔗 Resources & Links: 📘 Download Python for Machine Learning: https://www.python.org/downloads/ 📗 Scikit-Learn Documentation: https://scikit-learn.org/stable/ 📊 Google Colab for Practice: https://colab.research.google.com/ 🧠 Machine Learning Crash Course by Google: https://developers.google.com/machine-learning/crash-course 📘 Day 10: Calculus for Data Science — Watch Here ➤ https://youtu.be/w_psC-DA63Y?si=zfkMHaP5XUGFIu2p ------------------------------------------------------------------------------------------------------------------------ 📢 Don’t Forget: 👍 Like this video 📩 Comment your questions — I’ll respond to help you learn better 🔔 Subscribe to The Data Key and continue your journey to becoming a Data Scientist in just 30 days! ------------------------------------------------------------------------------------------------------------------------ OUTLINE: 00:00:00 : Introduction to Data Science 00:00:45 : Big picture + Roadmap 00:01:49 : Supervised learning + Linear regression 00:03:48 : Unsupervised learning + K-means 00:05:19 : Reinforcement learning fundamentals 00:07:11 : Building blocks recap (LR, Trees, K-means) 00:08:20 : Python in action (code snippets) 00:10:45 : Where ML shines (applications) 00:12:33 : Next steps + CTA #machinelearning #machinelearningfullcourse #thedatakey #machinelearningwithpython #machinelearningtutorialforbeginners #datascience #datasciencewiththedatakey #datascienceroadmap #datasciencebasics #technology #trendingvideo #foryou #modeltraining #educationalvideo #tech #techchannel #deeplearning #dataanalyst #dataanalytics #subscribe #ai #aivideo #aiandml #learnwiththedatakey #python #pythontutorial #programming #coding #freecourse #fullcourse

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