Artificial Intelligence and Predictive Analysis using Python
- 3.8
-
![]()
![]()
![]()
![]()
Brief Introduction
This course is a comprehensive understanding of AI concepts and its application using Python and iPython.Description
Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.
The training will include the following;
What is Artificial Intelligence?
Intelligence
Applications of AI
Problem solving
AI search algorithms
Informed (Heuristic) Search Strategies
Local Search Algorithms
Learning System
Common Sense
Genetic algorithms
Expert Systems
Scikit-learn module
Requirements
- Requirements
- Basic knowledge of Python
- Beginner knowledge of Statistics
EDU CBA
3.8 Raiting
Fundamentals of Data Science with Python
- 3.8
-
![]()
![]()
![]()
![]()
![]()
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn In this course, we will get hands-on with a variety of data science tasks....
Learn Python In A Day With 6 Projects
- 4.4
-
![]()
![]()
![]()
![]()
![]()
For programming beginners to pick up the fundamentals of Python within a day! Learn through 6 examples applications. What is Python?...
Python for Data Science and Visualization -Beginners to Pro
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Complete Python data science course - beginner to expert in data analysis and visualization - Pandas, Numpy & MatPlotLib Python for Data Analysis and Visualization...
Natural Language Processing with Attention Models
- 4.4
-
![]()
![]()
![]()
![]()
![]()
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning. AI, you will: a) Translate complete English sentences into German using an encoder-decoder attention model,...
