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Scikit Learn Tutorial | Machine Learning with Python | Python for Data Science Training | Edureka

(Python Certification Training for Data Science: https://www.edureka.co/python) <br><br>This Edureka video on "Scikit-learn Tutorial" introduces you to machine learning in Python. It will also takes you through regression and clustering techniques along with a demo on SVM classification on the famous iris dataset. This video helps you to learn the below topics: <br><br>1. Machine learning Overview <br>2. Introduction to Scikit-learn <br>3. Installation of Scikit-learn <br>4. Regression and Classification <br>5. Demo <br><br>Subscribe to our channel to get video updates. Hit the subscribe button and click the bell icon.

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Scikit Learn Tutorial | Machine Learning with Python | Python for Data Science Training | Edureka

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  1. Topics Covered in Today’s Training 1 Machine Learning Overview 2 Introduction To Scikit-learn 3 Installation of Scikit-learn 4 Regression & Classification 5 Demo Python Certification Training www.edureka.co/python

  2. What is Machine Learning? Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  3. What is Machine Learning? It is a type of Artificial Intelligence that allows software applications to learn from the data and become more accurate in predicting outcomes without human intervention. Training Data Learn Algorithm Build Model Perform Feedback Python Certification Training www.edureka.co/python

  4. Types of Machine Learning 03 03 03 01 02 Supervised Unsupervised Reinforcement This is a process where a This is a process of an Reinforcement learning is model is trained using an algorithm learning from the learning by interacting with information which is training dataset. a space or an environment. not labelled. Python Certification Training www.edureka.co/python

  5. What is Sckit-learn? Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  6. Introduction to Scikit-learn Open source library which is licensed under BSD P O R T A B L E Built on Numpy, Scipy & Matplotlib Many tuning Parameters Documentation & Support Python Certification Training www.edureka.co/python

  7. Installation of Scikit-learn COMMANDS: pip install scikit-learn OR conda install scikit-learn Python Certification Training www.edureka.co/python

  8. Installation of Scikit-learn COMMANDS: pip install scikit-learn OR conda install scikit-learn Python Certification Training www.edureka.co/python

  9. Scikit-learn From sklearn.family import Model Example: From sklearn.linear_model import LinearRegression Python Certification Training www.edureka.co/python

  10. Regression & Clustering Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  11. Regression & Classification Regression Classification Regression is the prediction of a numeric value and often takes input as a continuous value. Classification is the problem identifying to which set of categories a new observation belongs. Classifier Python Certification Training www.edureka.co/python

  12. Dataset IRIS Dataset ➢ The data set consists of 50 samples from three species of Iris - Iris Setosa, Virginica and versicolor ➢ Four features were measured from each sample: Length and the width of the sepals and petals, in centimetres. Python Certification Training www.edureka.co/python

  13. Supervised Learning: Implement Logistic Regression Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  14. Classification Algorithms Decision Tree Random Forest Naiive Bayes Classifier Support Vector Machine Python Certification Training www.edureka.co/python

  15. Classification Algorithms Decision Tree Random Forest Naiive Bayes Classifier Support Vector Machine Python Certification Training www.edureka.co/python

  16. Support Vector Machine (SVM) ➢ SVM is a supervised machine learning algorithm which can be used for both classification or regression challenges ➢ It tries to define a hyperplane which can split the data in the most optimal way Python Certification Training www.edureka.co/python

  17. SVM Use-Case Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  18. Support Vector Machine (SVM) Problem Statement Use SVM on the iris datset n we will create a model which can classify the flowers based on their features. Python Certification Training www.edureka.co/python

  19. K-nearest neighbors Copyright © 2018, edureka and/or its affiliates. All rights reserved.

  20. Session in a Minute Machine Learning Scikit-Learn Installation Regression & Clustering Demo Python Certification Training www.edureka.co/python

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