Data Science Real World Projects in Python - Chapter 34

Build Robust Data science Real-world Projects in AI, ML, NLP and Time Series domain & Solve Real-world problems..

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 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.

What you’ll learn
Hands on Real-World Projects on Various Domains of Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for Customer Sentiments
Develop time series forecasting models to predict Prices of stocks
Learn how to map your Problem into Data Science problem
Learn best practices for real-world data sets.
Are there any course requirements or prerequisites?
Basic knowledge of programming is recommended. However, You can follow my Basics of Python Course which is free of cost therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science and directly apply these skills to solve real world challenging business problems.
Who this course is for:
One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..