Are you looking to land a top–paying job in Data Science?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands–on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you!
Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.
The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands–on experience using real–world datasets.
1.Task #1 @Predict Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..
Specification: Data Science Real-World Case Studies – Hands On Python
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2 reviews for Data Science Real-World Case Studies – Hands On Python
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Price | $9.99 |
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Provider | |
Duration | 11 hours |
Year | 2021 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | No |
$19.99 $9.99
Edoh Goka –
Wow!! Amazing course! In this course you have hands on practical projects as well as different concepts on which machine learning algorithms are build on. I truly appreciate this course and thanks to the instructor for his hard working to make this course easy to understand. I highly recommend this course for anyone who is debuting in data science or who wants to improve his knowledge on ML algorithms in a practical way.
Anand Kumar –
The instructor repeats words and sentences multiple times in very annoying way.