Python Jarvis Tutorial - Part 1 | Creating Voice Assistant Using Python Speech Recognition | Edureka

Idea behind Jarvis
The Objective of The Project
How To Convert Speech To Text
How To Convert Text To Speech

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#Edureka #PythonEdureka #Pythonjarvis #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
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Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:



· Programmers, Developers, Technical Leads, Architects

· 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

[pegasus]

This is really amazing. Can you please share the code ❤. Would love to learn more!

[aahneikaayushman]

Amazing tut👍🔥. Can you please share the code?

[divkitchen]

sir plz fix this errrorTraceback (most recent call last):
line 6, in <module>
text=r.listen(source)
TypeError: listen() missing 1 required positional argument: 'source'

[sabtoshchawan]

How to download pyaudio and other package plZ tell me sir

[harsimransingh]

Hi sir, thanks for this amazing content, it's helping me a lot. Can you kindly share the code?

[dhanushlg]

Resourcefull video
Can anyone help me to get the code..?

[afsanajarin]

i want to work in this topic!!
if you give me the sourse code it will be great help for me

[varunbathija]

Amazing
Could you help me out with the source code for this really want to dive into it further !!

[eiwolf]

Amazing content, could you share the code, please??

[vaclavpi]

Hello, thank you very much for a great video. Can I ask you to share the source code?

[prerna]

Can you please share the code? And thank you, I learnt a lot

[arvindlakhatariya]

can you please share the code as the tutorial is fantastic

[aimenjaved]

Well Explained! Can you please share the code?

[matiasdominguez]

Amazing, can you share the code please?

[zodarixx]

Great ! Can you send me the code pls ?

[zenathunishasu]

amazing video . can u please share me the source code?

[onkarnath]

That wa really amazing but i am finding some errors in my code can you just ping me with the source code for the same, would really appreciate your efforts for the same!

[stephaniedenise]

Hello, could you please share the code?

[iannguda]

Sir can you please share you're code?

[suruchisharma]

hi this is really amazing can you send me the codes