Go to 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) → 🌟 Python for Data Science & Machine Learning (Paid) → 🌟 Data Science with Python Course (Paid) → 🌟 Free Course on Machine Learning Using Python → 🌟 Free Machine Learning Course → 🌟 Free Machine Learning Python Libraries Course → 🎯 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: 🔗 Follow for Updates: Telegram → Facebook → LinkedIn → WhatsApp → Blog →