• views: 367
• date: 26 April 2022
• posted by: voska89

What you'll learn
Learn about data science projects and its various libraries using python
Learners will be working on real life projects.
These projects can add great value in user's resume and college project.
Learn about how to deploy a machine learning model.
Learn about supervised and unsupervised learning
Requirements
Basic python syntax
Description
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT INDUSTRY LEVEL DATA SCIENCE PROJECTS
Do you want to harness the power of data science?
Are you looking to gain an edge by adding cool projects in your resume?
Do you want to learn how to deploy a model?
Gaining proficiency in data science can help you harness the power of the freely available data and information on the world wide web and turn it into actionable insights
This course is based on15 real life machine learning projects- You will work on 10 interesting projects which are used in data science industry
My course provides a foundation to carry out real life data science projects. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of real projects.
Through this course you will
Gain proficiency in setting up and using jupyter notebooks for Python Data Science tasks.
Work on supervised learning classification and regression based projects.
Work with unsupervised learning cluster analysis project.
Know about how to cleanup data before feeding into model.
How to tune the model accuracy.
Deploy the model using flask api.
In addition to all the above, you'll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!
ENROLL NOW :)
Who this course is for
Those who wants to learn data science
Those who wants to get exposure with industry based projects
Those who wants to build amazing projects and make their resume shine during interviews.
Those who wants an edge over other applicants in interview.

Homepage

https://www.udemy.com/course/industry-level-machine-learning-projects/

   
   
   

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