Machine Learning Algorithms In-Depth Guide For 2022 | ML Algorithms Explained | Simplilearn
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This video on Machine Learning
This video on Machine Learning Algorithm will take you through a detailed concept of machine learning algorithm. This video will help you to understand What is an Algorithm, What is Machine Learning, Types of Machine Learning, How Algorithms works in Machine Learning/Programing, Some popular Machine Learning Algorthms - Linear Regression Algorithm,Logistic Regression Algorithm, Decision Tree, SVM (Support Vector Machine), KNN (K Nearest Neighbor), K-Means Clustering, Random Forest, Apriori Algorithm, and hands-on-lab Demo- Linear Regression
01:23 What is an algorithm
02:18 What is machine learning
02:55 Types of machine learning
04:28 How do algorithms work in ML
07:03 Popular machine learning algorithms
29:39 Hands-on lab demo
✅ What is an Algorithm?
An algorithm is a set of well-defined instructions to solve a particular problem. It takes a bunch of information sources and delivers the ideal result.
✅ What is machine learning?
Machine learning is a sub-part of artificial intelligence, the art of making computers learn and act like humans by feeding data and making predictions based on experience.
✅ Types of Machine Learning
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement learning
✅ Some popular machine learning algorithms
- Linear Regression Algorithm
- Logistic Regression Algorithm
- Decision Tree
- SVM (Support Vector Machine)
- KNN (K Nearest Neighbor)
- K-Means Clustering
- Random Forest
- Apriori
✅ Linear Regression :
Linear regression is one of the most famous and straightforward machine learning algorithms utilized for predictive analysis. Linear regression shows the linear connection between the dependent and independent factors.
✅ Logistic Linear Regression:
Logistic regression is the supervised machine learning algorithm utilized to anticipate all categorical factors or discrete values. It could very well be used for the grouping issues in machine learning, and the result of the logistic regression can be either yes or no, 0 or 1, Men or Women, and so on. it gives the values which lie between 0 and 1.
✅ Decision Trees
A decision tree is a tree-structured classifier that could be used for both classification and regression. A decision tree is a tree in which each non-leaf node is assigned an attribute. Additionally, each arc contains one of the available values for its parent node's (categorical) property, which is associated with each leaf node (i.e., the node from where the arc is directed).
✅ SVM - Support Vector Machine
A support vector machine is a well-known supervised machine learning model. It is utilized for both information classification and regression. It is regularly utilized for grouping issues. We can involve it in different life-care systems
✅ KNN (K Nearest Neighbor)
KNN is a Supervised Learning Technique. KNN Classifies new data into a targeted class, depending on the features of its neighboring points, and also could be used for regression problems. It is an instance-based learning algorithm and a bit lazy learning algorithm.
✅ K-Means Clustering
K-Means is a cluster falls underthat is an unsupervised learning algorithm. It is used to address ML clustering problems and utilized to tackle the grouping issues in ML.
✅ Random Forest
Random forest is an adaptable, simple-to-utilize ML algorithm that produces, even without hyper-boundary tuning, an extraordinary outcome more often than not. It is likewise quite possibly the most-utilized algorithm, because of its effortlessness and variety (it tends to be utilized for both grouping and classification tasks).
✅ Apriori Algorithm
The Apriori algorithm utilizes standard item sets to create affiliation rules and is intended to chip away at the information bases containing exchanges. With the assistance of these affiliation rules, it decides how firmly or feebly two objects are associated.
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01:23 What is an algorithm
02:18 What is machine learning
02:55 Types of machine learning
04:28 How do algorithms work in ML
07:03 Popular machine learning algorithms
29:39 Hands-on lab demo
✅ What is an Algorithm?
An algorithm is a set of well-defined instructions to solve a particular problem. It takes a bunch of information sources and delivers the ideal result.
✅ What is machine learning?
Machine learning is a sub-part of artificial intelligence, the art of making computers learn and act like humans by feeding data and making predictions based on experience.
✅ Types of Machine Learning
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement learning
✅ Some popular machine learning algorithms
- Linear Regression Algorithm
- Logistic Regression Algorithm
- Decision Tree
- SVM (Support Vector Machine)
- KNN (K Nearest Neighbor)
- K-Means Clustering
- Random Forest
- Apriori
✅ Linear Regression :
Linear regression is one of the most famous and straightforward machine learning algorithms utilized for predictive analysis. Linear regression shows the linear connection between the dependent and independent factors.
✅ Logistic Linear Regression:
Logistic regression is the supervised machine learning algorithm utilized to anticipate all categorical factors or discrete values. It could very well be used for the grouping issues in machine learning, and the result of the logistic regression can be either yes or no, 0 or 1, Men or Women, and so on. it gives the values which lie between 0 and 1.
✅ Decision Trees
A decision tree is a tree-structured classifier that could be used for both classification and regression. A decision tree is a tree in which each non-leaf node is assigned an attribute. Additionally, each arc contains one of the available values for its parent node's (categorical) property, which is associated with each leaf node (i.e., the node from where the arc is directed).
✅ SVM - Support Vector Machine
A support vector machine is a well-known supervised machine learning model. It is utilized for both information classification and regression. It is regularly utilized for grouping issues. We can involve it in different life-care systems
✅ KNN (K Nearest Neighbor)
KNN is a Supervised Learning Technique. KNN Classifies new data into a targeted class, depending on the features of its neighboring points, and also could be used for regression problems. It is an instance-based learning algorithm and a bit lazy learning algorithm.
✅ K-Means Clustering
K-Means is a cluster falls underthat is an unsupervised learning algorithm. It is used to address ML clustering problems and utilized to tackle the grouping issues in ML.
✅ Random Forest
Random forest is an adaptable, simple-to-utilize ML algorithm that produces, even without hyper-boundary tuning, an extraordinary outcome more often than not. It is likewise quite possibly the most-utilized algorithm, because of its effortlessness and variety (it tends to be utilized for both grouping and classification tasks).
✅ Apriori Algorithm
The Apriori algorithm utilizes standard item sets to create affiliation rules and is intended to chip away at the information bases containing exchanges. With the assistance of these affiliation rules, it decides how firmly or feebly two objects are associated.
🔥Free Machine Learning Course With Completion Certificate: https://www.simplilearn.com/learn-mac...
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
#MachineLearningAlgorithms #MLAlgorithms #MachineLearning #ML #MLBasics #MachineLearningTutorial #MLTutorial #SimplilearnMachineLearning #MachineLearningPython #Simplilearn
👉Learn more at: https://www.simplilearn.com/big-data-...
For more updates on courses and tips follow us on:
- Facebook: Facebook: Simplilearn
- Twitter: Twitter: simplilearn
- LinkedIn: LinkedIn: simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
2 سال پیش
در تاریخ 1401/04/27 منتشر شده
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