Machine Learning with Python | Machine Learning Tutorial for Beginners | Machine Learning Tutorial
Go to https://bit.ly/MachineLearningUsingPython to learn Machine Learning with Python—master regression, classification, clustering, and model evaluation wit...
🔥 Related Trending Topics
LIVE TRENDSThis video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!
THIS VIDEO IS TRENDING!
This video is currently trending in Singapore under the topic 'itoto system 12'.
About this video
Go to https://bit.ly/MachineLearningUsingPython to learn Machine Learning with Python—master regression, classification, clustering, and model evaluation with hands-on projects and real datasets.
🚀 How Machine Learning Works:
Machine learning enables machines to learn from data and improve over time without explicit programming. It can be applied across industries—from healthcare to finance, marketing to autonomous vehicles. Once you understand the algorithms, the possibilities are endless.
📚 What You’ll Learn:
⮞ How machine learning models are trained using data
⮞ Core concepts of supervised vs unsupervised learning
⮞ Real-world examples of machine learning in action
⮞ Key techniques and algorithms like decision trees, neural networks, and regression
⮞ Step-by-step guide on implementing a basic machine learning model
⮞ How to evaluate and optimize model performance
⏱️ Topics Covered:
00:00:00 Agenda
00:03:58 Introduction to Python and Anaconda
01:07:05 Introduction to Pandas and Data Manipulation
04:42:32 Introduction to Numpy and Numerical Computing
05:10:58 Data Visualization
06:06:12 Statistics vs Machine Learning
06:12:44 Types of Statistics
07:54:39 Understanding Data
07:58:19 What is Reinforcement Learning?
08:53:46 Reinforcement Learning Framework
09:24:58 Q-Learning
09:51:08 Case Study on Smart Taxi
📚 Continue Your Machine Learning Journey:
🌟 Machine Learning with Python Course (Paid) → https://bit.ly/pythonformachinelearning
🌟 Python for Data Science & Machine Learning (Paid) → https://bit.ly/PythonforDataScienceandMachineLearning
🌟 Data Science with Python Course (Paid) → https://bit.ly/hands-on-data-science-using-python
🌟 Free Course on Machine Learning Using Python → https://bit.ly/pythonformachinelearning
🌟 Free Machine Learning Course → https://bit.ly/IntroductiontoML
🌟 Free Machine Learning Python Libraries Course → https://bit.ly/PythonLibrariesforMachineLearning
🎯 Perfect For:
✔️ Data Scientists
✔️ Machine Learning Engineers
✔️ Software Developers
✔️ AI Enthusiasts
✔️ Students looking to break into machine learning
🎓 About Great Learning Academy:
Great Learning Academy offers 1,000+ free, self-paced courses plus Pro programs with projects and certifications. It’s ideal for students, professionals, or career switchers looking to gain or enhance skills.
🔗 Explore: https://bit.ly/GL-academy-whatsapp
🔗 Follow for Updates:
Telegram → https://bit.ly/Gl-Telegram
Facebook → https://bit.ly/Gl-FB
LinkedIn → https://bit.ly/GL-linkedin
WhatsApp → https://bit.ly/GL-academy-whatsapp
Blog → https://glacad.me/GL_Blog
Video Information
Views
1.4M
Total views since publication
Likes
34.2K
User likes and reactions
Duration
10:36:31
Video length
Published
Feb 13, 2020
Release date
Quality
hd
Video definition
Captions
Available
Subtitles enabled
About the Channel
Tags and Topics
This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:
#Great Learning #Great Lakes #Machine Learning with Python #Machine Learning Python #Machine Learning Algorithms #Machine Learning Tutorial #Python for Machine Learning #Machine Learning Basics #Machine Learning Tutorial for Beginners #What is Machine Learning #Machine Learning Projects #Python Machine Learning #Introduction to machine Learning #Machine Learning Full course #Learn Machine Learning #Machine Learning Lectures. #Machine Learning #Reinforcement Learning #python
Tags help categorize content and make it easier to find related videos. Browse our collection to discover more content in these categories.