Data Science Real-World Use Cases – Hands On Python

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A brief description

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

Or are you an experienced AI professional looking 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.

Data 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 variety of industries, including retail, healthcare, airlines, logistics, and technology.

1.Task #1 @Predict Zomato Restaurant Success: Develop 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: Build a Machine Learning Algorithm 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 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.

This course is planned 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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