Predictive Analytics with Python | Learn to build predictive models | Python Training | Edureka

Predictive Analytics with Python | Learn to build predictive models | Python Training | Edureka

Homeedureka!Predictive Analytics with Python | Learn to build predictive models | Python Training | Edureka
Predictive Analytics with Python | Learn to build predictive models | Python Training | Edureka
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Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka video on 'Predictive Analysis Using Python' covers the concept of making predictions based on data analysis and modeling using machine learning. Following are the topics discussed during this session:
00:00 – Introduction
00:53 – What is predictive analytics?
01:44 – Applications of predictive analytics
04:34 – Steps involved in predictive analytics
08:54 – Predictive analytics with Python

Python tutorial playlist: https://goo.gl/WsBpKe
Blog series: http://bit.ly/2²P4s

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How it works?

Edureka's Machine Learning course using Python is designed to let you learn the concepts of Machine Learning. Machine Learning training will provide an in-depth understanding of Machine Learning and its mechanism. As a Data Scientist you will learn the importance of Machine Learning and its implementation in the Python programming language. You will also be taught Reinforcement Learning, which in turn is an important aspect of artificial intelligence. You can automate real-life scenarios using Machine Learning algorithms. Towards the end of the course, we will discuss several practical use cases of Machine Learning in the Python programming language to enhance your learning experience.

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Why Learn Machine Learning with Python?

Data Science is a collection of techniques that allow computers to learn desired behavior from data without being explicitly programmed. It uses techniques and theories from many fields within the broad areas of mathematics, statistics, computer science and computer science. In this course, you will be introduced to different classes of machine learning algorithms, such as supervised, unsupervised, and reinforcement algorithms. This course will equip you with the necessary skills such as data preprocessing, dimensional reduction, model evaluation and also expose you to various machine learning algorithms such as regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning certification training with Python, you should be able to:
Gain insight into the 'roles' a Machine Learning Engineer plays
Automate data analysis with Python
Describe machine learning
Work with real-time data
Learn predictive modeling tools and techniques
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning Algorithms
Explain Time Series and its concepts
Gain expertise to do business in the future and live in the present
Who is this Machine Learning certification training with Python suitable for?

Edureka's Python Machine Learning Certification Course is suitable for the professionals below:
Developers who want to become a 'Machine Learning Engineer'
Analytics Managers who lead 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
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