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Machine Learning in Python

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Updated On 02 Feb, 19

Overview

Machine Learning Tutorial in Python helps you gain expertise in various types of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Through this playlist you will be learning the important Machine Learning concepts and its implementation in python programming language.

Includes

Lecture 35: Python Tutorial For Beginners | Python Full Course | Python Programming Tutorial | Edureka

4.1 ( 11 )


Lecture Details

** Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka video on Python Tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) covers all the basic knowledge for beginners who are planning to switch over to Python Development.

01:19 Introduction to Python
02:16 Reasons to choose Python
05:02 Who is using Python?
05:25 Installing and running Python
07:25 Installing Jupyter Notebook
09:11 Variables in Python
11:27 Python Tokens
11:41 Python Keywords
12:05 Python Identifiers
14:26 Python Literals
19:51 Python Operators
31:38 Data Types in Python
32:03 Numbers
33:18 Strings
40:00 Tuples
42:31 Lists
46:50 Dictionaries
50:42 Sets
52:52 Flow Control in Python
53:11 if-else
53:09 nested if else
57:03 for statement
59:49 while loop
01:01:37 break statement
01:02:44 continue statement
01:04:59 Function in Python
01:09:59 Pass By Value
01:10:52 Pass By Reference

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Check out our Python Tutorial Playlist: https://goo.gl/WsBpKe

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-graduate/data-science-program
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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!

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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 a 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 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 Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
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

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable 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.

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

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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