Classification in Machine Learning | Machine Learning Tutorial | Python Training | Edureka

** Machine Learning Certification Training: **

This Edureka video on 'Classification In Machine Learning ' covers the concept of classification in machine learning with various classification algorithms and a Use case to implement digit classification on MNIST data. Following are the topics discussed in this Machine Learning Tutorial:

What Is Classification in Machine learning
Classification Terminologies in Machine Learning
Classification Algorithms
Classifier Evaluation
Algorithm Selection
Use Case - MNIST Digit Classification

Python Tutorial Playlist:
Blog Series:

#Edureka #edurekaclassificationinmachinelearning #EdurekaMachinelearning #PythonTraining #PythonEdureka

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future:

SlideShare:
Instagram:
Facebook:
Twitter:
LinkedIn:

-----------------------------------------------------------------------------------------------------------------------------------


How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -
About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

Gain insight into the 'Roles' played by a Machine Learning Engineer

Automate data analysis using python

Describe Machine Learning

Work with real-time data

Learn tools and techniques for predictive modeling

Discuss Machine Learning algorithms and their implementation

Validate Machine Learning algorithms

Explain Time Series and it’s related concepts

Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -
Why learn Machine Learning Using Python?

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 Machine Learning Certification Training using Python?

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

For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)

yt:cc=on,classification in machine learning,classification in machine learning using python,classifier evaluation,how to implement classification in machine learning,logistic regression,random forest,KNN,gradient descent,stochastic gradient descent,artificial neural network,support vector machine,naive Bayes algorithm,cross-validation,classification report,python programming,python,python tutorial,python edureka,edureka,machine learning python,