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Machine Learning Full Course – 12 Hours | Machine Learning Roadmap [2023] | Edureka

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters-program/machine-learning-engineer-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Machine Learning Full Course video will help you understand and learn Machine Learning Algorithms in detail. This Machine Learning Tutorial is ideal for both beginners and professionals who want to master Machine Learning Algorithms. Below are the topics covered in this Machine Learning Roadmap course:
00:00:00 Introduction
00:01:08 Agenda
00:02:45 What is Machine learning?
00:06:28 Supervised Machine Learning
00:11:49 Un-Supervised Machine Learning
00:16:03 Reinforcement Machine Learning
00:32:21 How to Become a Machine Learning Engineer?
00:41:53 Machine Learning Algorithm
01:03:46 Linear Regression Algorithm
01:06:40 What is Linear Regression
01:11:13 Linear Regression Use Cases
01:12:24 Use Case- How to Implement Linear Regression using Python
01:30:22 Logistic Regression Algorithm
01:35:44 Logistic Regression Use cases
02:17:36 Linear Regression Vs Logistic Regression
02:21:05 Decision Tree Algorithm
02:25:53 Types of Classification
02:34:57 What is Decision Tree?
02:58:25 What is Pruning?
02:58:36 Hands-on
03:06:42 Random Forest
03:10:46 Working of Random Forest
03:17:45 Splitting Methods
03:20:32 Advantages & Disadvantages of Random Forest
03:23:52 Hands-on Random Forest
03:35:18 KNN Algorithm
03:37:39 Features of the KNN Algorithm
03:45:54 How KNN works
03:51:21 Hands-on KNN Algorithm
04:07:45 Naive Bayes Classifier
04:29:25 Support Vector Machine
04:31:13 How do SVM work
04:55:00 K- Means Clustering Algorithm
04:58:26 K Means Clustering
05:07:16 Agglomerative Clustering
05:09:16 Division Clustering
05:09:41 Mean shift Clustering
05:18:21 Hierarchical Clustering
05:25:10 How Agglomerative Clustering Works
05:32:59 Applications of Hierarchical Clustering
05:38:34 Apriori Algorithm Explained
05:52:58 Demo
06:30:26 Linear Algebra Application
06:54:00 Probability
07:07:01 Statistics
07:12:47 Types of Statistics
07:38:40 How to select the correct predictive modeling techniques
07:50:54 ML Model Deployment with Flask on Heroku
08:28:32 Azure Machine Learning
08:54:49 AWS Machine Learning
09:35:24 Machine learning Engineer Skills
09:43:30 Machine Learning Engineer Job Trend, Salary & Resume
09:59:20 Top Machine Learning Tools & Frameworks
10:09:12 ML Roadmap
10:22:20 ML Interview Question & Answers

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