Scikit Learn Tutorial | Machine Learning with Python | Python for Data Science Training | Edureka
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The document provides an overview of Python certification training focused on machine learning, detailing topics such as scikit-learn installation, types of machine learning (supervised, unsupervised, reinforcement), and various classification and regression algorithms. It emphasizes practical implementations using algorithms like logistic regression and support vector machines, particularly applied to the Iris dataset. Additionally, the document includes installation commands for scikit-learn and highlights its open-source nature and foundational libraries.
Scikit Learn Tutorial | Machine Learning with Python | Python for Data Science Training | Edureka
- 2. www.edureka.co/pythonPython Certification Training Topics Covered in Todayâs Training Machine Learning Overview Introduction To Scikit-learn Installation of Scikit-learn Regression & Classification Demo 1 2 3 4 5
- 3. Copyright © 2018, edureka and/or its affiliates. All rights reserved. What is Machine Learning?
- 4. www.edureka.co/pythonPython Certification Training 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. What is Machine Learning? Training Data Learn Algorithm Build Model Perform Feedback
- 5. www.edureka.co/pythonPython Certification Training Types of Machine Learning 03 Supervised 01 This is a process of an algorithm learning from the training dataset. This is a process where a model is trained using an information which is not labelled. Reinforcement learning is learning by interacting with a space or an environment. Unsupervised 02 Reinforcement 03
- 6. Copyright © 2018, edureka and/or its affiliates. All rights reserved. What is Sckit-learn?
- 7. www.edureka.co/pythonPython Certification Training Introduction to Scikit-learn P O R T A B L E Open source library which is licensed under BSD Built on Numpy, Scipy & Matplotlib Many tuning Parameters Documentation & Support
- 8. www.edureka.co/pythonPython Certification Training Installation of Scikit-learn pip install scikit-learn conda install scikit-learn COMMANDS: OR
- 9. www.edureka.co/pythonPython Certification Training Installation of Scikit-learn pip install scikit-learn conda install scikit-learn COMMANDS: OR
- 10. www.edureka.co/pythonPython Certification Training Scikit-learn From sklearn.linear_model import LinearRegression From sklearn.family import Model Example:
- 11. Copyright © 2018, edureka and/or its affiliates. All rights reserved. Regression & Clustering
- 12. www.edureka.co/pythonPython Certification Training Regression & Classification Classification Classification is the problem identifying to which set of categories a new observation belongs. Classifier Regression Regression is the prediction of a numeric value and often takes input as a continuous value.
- 13. www.edureka.co/pythonPython Certification Training Dataset âą The data set consists of 50 samples from three species of Iris - Iris Setosa, Virginica and versicolor âą Four features were measured from each sample: Length and the width of the sepals and petals, in centimetres. IRIS Dataset
- 14. Copyright © 2018, edureka and/or its affiliates. All rights reserved. Supervised Learning: Implement Logistic Regression
- 15. www.edureka.co/pythonPython Certification Training Classification Decision Tree Random Forest Naiive Bayes Classifier Support Vector Machine Algorithms
- 16. www.edureka.co/pythonPython Certification Training Classification Algorithms Decision Tree Random Forest Naiive Bayes Classifier Support Vector Machine
- 17. www.edureka.co/pythonPython Certification Training Support Vector Machine (SVM) âą SVM is a supervised machine learning algorithm which can be used for both classification or regression challenges âą It tries to define a hyperplane which can split the data in the most optimal way
- 18. Copyright © 2018, edureka and/or its affiliates. All rights reserved. SVM Use-Case
- 19. www.edureka.co/pythonPython Certification Training Support Vector Machine (SVM) Use SVM on the iris datset n we will create a model which can classify the flowers based on their features. Problem Statement
- 20. Copyright © 2018, edureka and/or its affiliates. All rights reserved. K-nearest neighbors
- 21. www.edureka.co/pythonPython Certification Training Session in a Minute Machine Learning Scikit-Learn Regression & Clustering Installation Demo