01-28-2021, 04:44 PM
https://www.udemy.com/course/data-science-real-world-projects-in-python-x/?couponCode=JAN_COUPON
Data Science Real World Projects in Python
Solve 3 real Business Problems, Build Robust AI, Ml , NLP and Time Series models for Airline, Security and Stock Domain..
New
Rating: 4.6 out of 5
(19 ratings)
14,540 students
Created by Shan Singh
Last updated 1/2021
English [Auto]
1.Task #1 @Predict Price of Airlines Industry : Develop an AI model to predict Fare of Airlines at various Routes.
2.Task #2 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.
3.Task #3 @Predict Prices of a Stock: Develop time series forecasting models to predict future Stock prices.
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest and 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 and 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.
Data Science Real World Projects in Python
Solve 3 real Business Problems, Build Robust AI, Ml , NLP and Time Series models for Airline, Security and Stock Domain..
New
Rating: 4.6 out of 5
(19 ratings)
14,540 students
Created by Shan Singh
Last updated 1/2021
English [Auto]
1.Task #1 @Predict Price of Airlines Industry : Develop an AI model to predict Fare of Airlines at various Routes.
2.Task #2 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.
3.Task #3 @Predict Prices of a Stock: Develop time series forecasting models to predict future Stock prices.
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest and 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 and 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.