Data Science Real World Projects in Python


Summary, Description

Looking to secure a top-paying Data Scientist job?

Or are you an aspiring AI professional who would like to move your career to the next level?

Or are you an amateur computer scientist who wants Artificial Intelligence and Hands-on Data Science?

When the answer to all of these questions is yes, then this course is for you!

One of the best engineering areas to be in right now is Computer Science! With opportunities and job possibilities, the field is exploding. In several fields today, such as finance, hospitals, aviation, logistics and telecommunications, data science is commonly embraced.

The purpose of this course is to provide you in a realistic, quick and enjoyable way with knowledge of key aspects of data science applications in industry. The course offers realistic hands-on training for students using real-world datasets.

1.Task #1 @Predict Airlines Industry Price: Develop an AI model to predict airline fares on different routes.

2.Task #2 @Predict the strength of a password: Predict whether it is powerful, decent or bad in the password category.

3.Task #3 @Predict Stock Prices: To predict future stock prices, build time series forecasting models.

Why do you take a course like this?

Projects on actual data and real-world challenges are explained. No info on toys! This is the safest and fastest way to become a Data Scientist/AI Programmer/ML Engineer.

It displays the full real-world details and describes it. Exploratory Data Analysis through the preparation and processing of data for Analytics, Machine Learning, NLP & Time Series and Data Presentation, beginning with importing messy data, cleaning data, combining and concatenating data, grouping and aggregating data.

It offers you lots of chances on your own to learn and code. Learning by doing.

Coding and the business side of things are similarly important in real-world ventures. This is perhaps the only course that teaches both: in-depth Python coding and big-picture reasoning like how to draw a conclusion.

Guaranteed satisfaction: If not, with the 30-Days-Money-Back-Guarantee, get your money back.

For whom this course is intended:

One who is interested about data science, AI, artificial learning, manipulation of natural languages, study of time series…


Course Link