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Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka
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🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
This Edureka Machine Learning video on "Machine Learning Full Course" will provide you with detailed and comprehensive knowledge of Machine Learning. It will provide you with the in-depth knowledge of the different types of Machine Learning with the different algorithms that lie under each category with a demo for each algorithm and the approach one should take to solve these problems. This Machine Learning tutorial will be covering the following topics:
1:44 What is Data Science?
3:09 Data Science Peripherals
3:37 What is Machine learning?
4:10 Features of Machine Learning
4:46 How it works?
5:36 Applications of Machine Learning
13:21 Market Trend of Machine Learning
14:29 Machine Learning Life Cycle
17:26 Important Python Libraries
19:20 Types of Machine Learning
19:33 Supervised Learning
20:50 Unsupervised Learning
21:52 Reinforcement Learning
23:23 Detailed Supervised Learning
24:50 Supervised Learning Algorithms
26:28 Linear Regression
28:53 Use Case(with Demo)
35:23 Model Fitting
36:36 Need for Logistic Regression
37:33 What is Logistic Regression?
39:46 What is Decision Tree?
49:33 What is Random Forest?
57:10 What is Naïve Bayes?
1:09:16 Detailed Unsupervised Learning
1:10:15 What is Clustering?
1:12:13 Types of Clustering
1:25:57 Market Basket Analysis
1:27:02 Association Rule Mining
1:29:06 Example
1:29:44 Apriori Algorithm
1:39:11 Detailed Reinforcement Learning
1:41:46 Reward Maximization
1:44:13 The Epsilon Greedy Algorithm
1:44:59 Markov Decision Process
1:47:19 Q-Learning
----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬-----------
----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------
-----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------
🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
#edureka #edurekamachinelearning #machinelearningcourse #machinelearningforbeginners #machinelearningtraining #machinelearningalgorithms #machinelearningusingpython #machinelearningproject
About the Masters Program
Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
Why Go for this Course?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning
---------------------------------------------------------------------------------
Who should go for this course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
This Edureka Machine Learning video on "Machine Learning Full Course" will provide you with detailed and comprehensive knowledge of Machine Learning. It will provide you with the in-depth knowledge of the different types of Machine Learning with the different algorithms that lie under each category with a demo for each algorithm and the approach one should take to solve these problems. This Machine Learning tutorial will be covering the following topics:
1:44 What is Data Science?
3:09 Data Science Peripherals
3:37 What is Machine learning?
4:10 Features of Machine Learning
4:46 How it works?
5:36 Applications of Machine Learning
13:21 Market Trend of Machine Learning
14:29 Machine Learning Life Cycle
17:26 Important Python Libraries
19:20 Types of Machine Learning
19:33 Supervised Learning
20:50 Unsupervised Learning
21:52 Reinforcement Learning
23:23 Detailed Supervised Learning
24:50 Supervised Learning Algorithms
26:28 Linear Regression
28:53 Use Case(with Demo)
35:23 Model Fitting
36:36 Need for Logistic Regression
37:33 What is Logistic Regression?
39:46 What is Decision Tree?
49:33 What is Random Forest?
57:10 What is Naïve Bayes?
1:09:16 Detailed Unsupervised Learning
1:10:15 What is Clustering?
1:12:13 Types of Clustering
1:25:57 Market Basket Analysis
1:27:02 Association Rule Mining
1:29:06 Example
1:29:44 Apriori Algorithm
1:39:11 Detailed Reinforcement Learning
1:41:46 Reward Maximization
1:44:13 The Epsilon Greedy Algorithm
1:44:59 Markov Decision Process
1:47:19 Q-Learning
----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬-----------
----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------
-----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------
🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
#edureka #edurekamachinelearning #machinelearningcourse #machinelearningforbeginners #machinelearningtraining #machinelearningalgorithms #machinelearningusingpython #machinelearningproject
About the Masters Program
Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
Why Go for this Course?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning
---------------------------------------------------------------------------------
Who should go for this course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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