- Python + Artificial Intelligence
-
Python + Artificial Intelligence Syllabus:
#PYTHON ::
1.Variables, Expressions and Statements
2.Functions
3.Conditionals and Recursion
4.Fruitful Functions
5.Iteration
6.Strings
7.Lists
8.Dictionaries
9.Tuples
10.Set
11.Exception Handling
12.Files
13.CSV
14.Pandas
15.Database with Python
16.Basic Data Visualization
17.Classes and Objects
18.Classes and Methods
19.Callable and Non-Callable Object
20.Inheritance
21.GIT
Tools
ARTIFICIAL INTELLIGENCE ::
22.Prerequisites for Deep Learning
23.Frameworks
24.Introduction to Computer Vision
25.Image Processing and Feature Detection
26.Introduction to Deep Learning
27.Artificial Neural Networks
28.Convolution Neural Network
29.Data Preprocessing
30.Image Classification and Object Recognition
31.Generative Adversarial Network
32.Introduction to Natural Language Processing
33.Natural Language Processing Basics
34.Deep Learning for NLP
35.Use case of Natural Language Processing
36.Deep Reinforcement Learning
37.GPUs and Cloud Computing
38.Case Study
39.Final Project
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