Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka
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This Edureka Python tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) gives an introduction to Machine Learning and how to implement machine learning algorithms in Python. Below are the topics covered in this tutorial: 1. Why Machine Learning? 2. What is Machine Learning? 3. Types of Machine Learning 4. Supervised Learning 5. KNN algorithm 6. Unsupervised Learning 7. K-means Clustering Algorithm
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What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
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Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
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What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
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3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
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Responsible AI
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PPT on Data Science Using Python
PPT on Data Science Using PythonNishantKumar1179 Best Data Science Ppt using Python
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.
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This "Machine Learning with R" tutorial by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:
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Supervised vs Unsupervised vs Reinforcement Learning | Edureka
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In this PPT on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session:
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Machine Learning Tutorial Part - 2 | Machine Learning Tutorial For Beginners ...Simplilearn This presentation on Machine Learning will help you understand what is clustering, K-Means clustering, flowchart to understand K-Means clustering along with demo showing clustering of cars into brands, what is logistic regression, logistic regression curve, sigmoid function and a demo on how to classify a tumor as malignant or benign based on its features. Machine Learning algorithms can help computers play chess, perform surgeries, and get smarter and more personal. K-Means & logistic regression are two widely used Machine learning algorithms which we are going to discuss in this video. Logistic Regression is used to estimate discrete values (usually binary values like 0/1) from a set of independent variables. It helps to predict the probability of an event by fitting data to a logit function. It is also called logit regression. K-means clustering is an unsupervised learning algorithm. In this case, you don't have labeled data unlike in supervised learning. You have a set of data that you want to group into and you want to put them into clusters, which means objects that are similar in nature and similar in characteristics need to be put together. This is what k-means clustering is all about. Now, let us get started and understand K-Means clustering & logistic regression in detail.
Below topics are explained in this Machine Learning tutorial part -2 :
1. Clustering
- What is clustering?
- K-Means clustering
- Flowchart to understand K-Means clustering
- Demo - Clustering of cars based on brands
2. Logistic regression
- What is logistic regression?
- Logistic regression curve & Sigmoid function
- Demo - Classify a tumor as malignant or benign based on features
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
Learn more at: https://www.simplilearn.com/
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Machine Learning Tutorial Part - 1 | Machine Learning Tutorial For Beginners ...Simplilearn This presentation on Machine Learning will help you understand why Machine Learning came into picture, what is Machine Learning, types of Machine Learning, Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, to put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. Now, let us get started with this Machine Learning presentation and understand what it is and why it matters.
Below topics are explained in this Machine Learning presentation:
1. Why Machine Learning?
2. What is Machine Learning?
3. Types of Machine Learning
4. Machine Learning Algorithms
- Linear Regression
- Decision Trees
- Support Vector Machine
5. Use case: Classify whether a recipe is of a cupcake or a muffin using SVM
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
Learn more at: https://www.simplilearn.com/
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Data Science Full Course | Edureka
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Logistic Regression | Logistic Regression In Python | Machine Learning Algori...Simplilearn This Logistic Regression Presentation will help you understand how a Logistic Regression algorithm works in Machine Learning. In this tutorial video, you will learn what is Supervised Learning, what is Classification problem and some associated algorithms, what is Logistic Regression, how it works with simple examples, the maths behind Logistic Regression, how it is different from Linear Regression and Logistic Regression applications. At the end, you will also see an interesting demo in Python on how to predict the number present in an image using Logistic Regression.
Below topics are covered in this Machine Learning Algorithms Presentation:
1. What is supervised learning?
2. What is classification? what are some of its solutions?
3. What is logistic regression?
4. Comparing linear and logistic regression
5. Logistic regression applications
6. Use case - Predicting the number in an image
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Responsible AI
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PPT on Data Science Using Python
PPT on Data Science Using PythonNishantKumar1179 Best Data Science Ppt using Python
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.
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This "Machine Learning with R" tutorial by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:
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In this PPT on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session:
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Machine learningDr Geetha Mohan 1. Machine learning is a set of techniques that use data to build models that can make predictions without being explicitly programmed.
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Industrial training machine learning PreetamAgnihotri This document provides an overview of machine learning presented by Preetam from R.E.C. Sonbhadra. It defines machine learning as a field that allows computers to learn without being explicitly programmed and discusses traditional programming versus machine learning approaches. The document outlines key machine learning concepts like generalization, popular algorithms like decision trees and logistic regression, and applications such as image and speech recognition. It concludes that machine learning will allow machines to perform increasingly complex tasks autonomously.
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This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
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** Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training**
This Edureka PPT shows how to deploy a java web application in AWS using AWS Elastic Beanstalk. It also describes the advantages of using AWS for this purpose.
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Importance of Digital Marketing | EdurekaEdureka! YouTube Link:https://youtu.be/phPCkkWT76k
*** Edureka Digital Marketing Course: https://www.edureka.co/post-graduate/digital-marketing-certification***
This Edureka PPT on "Top 10 Reasons to Learn Digital Marketing" will help you understand why you should take up Digital Marketing
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RPA in 2020 | EdurekaEdureka! YouTube Link: https://youtu.be/R132INtDg9k
** RPA Training: https://www.edureka.co/robotic-process-automation-training**
This PPT on RPA in 2020 will provide a glimpse of the accomplishments and benefits provided by RPA. Also, it will list out the new changes and technologies that will collaborate with RPA in 2020.
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**DevOps Certification Courses - https://www.edureka.co/devops-certification-training **
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** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
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** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses**
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AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
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** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
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Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Certification: https://www.edureka.co/kubernetes-certification
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DevOps Training: https://www.edureka.co/devops-certification-training
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** ITIL® Foundation Certification Training: https://www.edureka.co/itil-foundation-sp**
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- 13. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Supervised Learning
- 14. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Supervised Learning Supervised learning is the machine learning task of inferring a function from labelled training data Training Data Learning Algorithm Model Test Data Accuracy Step – 1 Training Step – 2 Testing
- 15. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Supervised Learning - Example
- 16. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Example of Supervised Learning - KNN Finding the genre of a movie Movie Action Romantic
- 17. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING KNN Algorithm Movie Title # of Kicks # of Kisses Type of Movie California Man 3 104 Romance He’s Not really into Dudes 2 100 Romance Beautiful Woman 1 81 Romance Kevin Longblade 101 10 Action Robo Slayer 99 5 Action Amped II 98 2 Action ? 18 90 Unknown
- 18. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING KNN Algorithm Movie Title Distance To Movie “?” California Man 20.5 He’s not really into dudes 18.7 Beautiful Women 19.2 Kevin Longblade 115.3 Robo Slayer 117.4 Amped || 118.9 Numberofkissesinthemovie Number of kicks in the movie California Man He’s not really into dudes ? Beautiful Women Amped || Robo Slayer Kevin Longblade
- 19. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Example Of Unsupervised Learning
- 20. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Example of Unsupervised Learning - Clustering What is Clustering? Data Class - 1 Class - 2 High intra-class similarity Low inter-class similarity
- 21. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING What is Clustering? Class -2 Teachers Class -1 Student
- 22. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING K-Means Clustering Algorithm Start Number of Clusters K Distance Objects to centroids Grouping based on minimum Distance Centroid Centroid has Converged? False End True
- 23. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING K-Means Clustering Algorithm CurrentBalance Gross Monthly Income High Medium Low Low Medium High Example Cluster 2 High Income Low Balance Example Cluster 1 Low Income High Balance
- 24. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Session In A Minute Why Machine Learning? What is Machine Learning? Supervised Learning KNN Algorithm Types of Machine Learning Unsupervised Learning
- 25. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Thank You … Questions/Queries/Feedback