Machine Learning with Python Full Course [2026] | Machine Learning - Beginner to Advanced | Edureka
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Machine Learning with Python Full Course [2026] | Machine Learning - Beginner to Advanced | Edureka
46 794 просмотра · Трансляция закончилась 1 год назад
edureka!
4,44 млн подписчиков
46 794 просмотра · Трансляция закончилась 1 год назад
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters-progra... (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certifica...
🎓 Welcome to the complete Machine Learning with Python full course — absolutely free and beginner-friendly! In this in-depth course, you'll learn everything you need to get started with machine learning using Python, from the foundational concepts to advanced algorithms and real-world applications. We'll begin with a quick Python refresher and gradually move into core ML topics like supervised and unsupervised learning, model training and evaluation, data preprocessing, feature engineering, and more. You’ll work with popular Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn, and by the end of the course, you’ll have hands-on experience building, testing, and even deploying machine learning models. Whether you're a student, a developer looking to pivot into AI/ML, or just curious about how machines learn from data — this course is for you. No prior experience in ML is needed, just basic Python knowledge. Stick around for bonus sections covering interview tips, career advice, and useful learning resources. Don’t forget to like, subscribe, and turn on notifications so you never miss an update. Let's dive into the world of Machine Learning together!
00:00:00 Introduction
00:01:57 Machine Learning with Python
00:23:29 Introduction to Python
01:07:24 Python NumPy
01:37:58 Python Pandas
02:40:16 Python Matplotlib
03:08:13 Best Python Libraries For Data Science & Machine Learning
03:47:03 What is Machine learning?
04:03:38 Types of Machine Learning Models
04:11:12 Mathematics for Machine Learning
05:53:53 How to select the correct predictive modeling techniques?
06:06:02 Linear Regression Algorithm
06:13:28 Introduction to Least Squares Regression Method Using Python
06:31:26 Logistic Regression Algorithm
07:18:35 Decision Tree Algorithm
08:04:09 Random Forest
08:29:24 KNN Algorithm
09:01:47 Naive Bayes Classifier
09:23:29 Support Vector Machine In Python
09:33:19 K- Means Clustering Algorithm
09:56:39 Hierarchical Clustering
10:03:00 Apriori Algorithm Explained
10:20:30 Machine Learning Interview Question & Answers
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