Data Science Real-World Case Studies – Hands On Python

1. Task #1 @Predict Success of a Zomato Restaurant: Develop an AI model to predict whether a Restaurant can be successful 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..

Why should you take this Course?

• It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a  Data Scientist/AI Engineer/ ML Engineer

• It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project,  importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning, NLP & Time Series and Data Presentation.
• It gives you plenty of opportunities to practice and code on your own. Learning by doing.

• In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion

• Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.