Data Science Real-World Use Cases – Hands On Python

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A brief description

Are you looking for a high-paying Data Scientist job?

Or are you an accomplished AI professional trying to advance your career?

Or are you a budding computer scientist who needs to learn Data Science and Artificial Intelligence from the ground up?

This course is for you if you answered yes to all of these questions.

Computer Science is one of the most in-demand engineering areas right now! Opportunities and job possibilities abound in this area. Data science is also commonly used in a number of fields, including banking, healthcare, airlines, logistics, and technology.

The aim of this course is to provide you with realistic, simple, and enjoyable knowledge of key aspects of data science applications in industry. Students can obtain realistic hands-on experience with real-world databases in this course.

1.Task #1 @Predict Zomato Restaurant Success: Create an AI model to predict whether or not a Zomato restaurant would be successful.

2.Task #2 @Predict whether or not the news is fake: Develop a Machine Learning Model that uses many NLP (Natural Language Processing) techniques to predict whether a piece of news is false or not.

3.Task #3 @Predict Product Sales: Develop time series forecasting models to predict product sales.

What are the benefits of taking this course?

It describes Projects based on real-world data and problems. There are no toy data! This is the quickest and most effective way to become a Data Scientist, AI Engineer, or Machine Learning Engineer.

It displays and describes the whole set of real-world data. Starting with Project Lifecycle Management, Uploading Messy Data, Cleaning Data, Combining and Concatenating Data, Grouping and Aggregating Data, Exploratory Data Analysis, and Planning and Analyzing Data for Statistics, Machine Learning, NLP, and Time Series Analysis, to Data Presentation.

It provides you with many chances to learn and code independently. Doing is the best way to learn.

Coding and the corporate side of things are equally critical in real-world ventures. This is likely the only course that covers all of these topics: Python Coding in Depth and Big-Picture Thinking Consider this: How can you arrive at a conclusion?

Guaranteed Satisfaction: If you’re not satisfied, we’ll refund your money within 30 days.

This course is intended for the following individuals:

Anyone interested in learning practical skills in data science, artificial intelligence, machine learning, natural language processing, and time series analysis.

 

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