Myvideo

Guest

Login

Machine Learning Full Course - 12 Hours | Machine Learning Roadmap 2023 | Edureka

Uploaded By: Myvideo
1 view
0
0 votes
0

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : (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 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: 🌕 AWS Online Training: 🔵 React Online Training: 🌕 Tableau Online Training: 🔵 Power BI Online Training: 🌕 Selenium Online Training: 🔵 PMP Online Training: 🌕 Salesforce Online Training: 🔵 Cybersecurity Online Training: 🌕 Java Online Training: 🔵 Big Data Online Training: 🌕 RPA Online Training: 🔵 Python Online Training: 🌕 Azure Online Training: 🔵 GCP Online Training: 🌕 Microservices Online Training: 🔵 Data Science Online Training: 🌕 CEHv12 Online Training: 🔵 Angular Online Training: 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: 🌕 Cloud Architect Masters Program: 🔵 Data Scientist Masters Program: 🌕 Big Data Architect Masters Program: 🔵 Machine Learning Engineer Masters Program: 🌕 Business Intelligence Masters Program: 🔵 Python Developer Masters Program: 🌕 RPA Developer Masters Program: 🔵 Web Development Masters Program: 🌕 Computer Science Bootcamp Program : 🔵 Cyber Security Masters Program: 🌕 Full Stack Developer Masters Program : 🔵 Automation Testing Engineer Masters Program : 🌕 Python Developer Masters Program : 🔵 Azure Cloud Engineer Masters Program: 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at sales@ or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Share with your friends

Link:

Embed:

Video Size:

Custom size:

x

Add to Playlist:

Favorites
My Playlist
Watch Later