Machine Learning AI Artificial Intelligence with Python

AI Artificial Intelligence with Python

Catalog: Machine Learning
Short name: AI With Python - 2023
Course start date: 2024-07-02
Paystack
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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

Course Duration:-6h 36m

Sections

General
0 activities

Introduction to Predictive Analysis
Random Forest and Extremely Random Forest
Dealing with Class Imbalance
Grid Search
Adaboost Regressor
Predicting Traffic Using Extremely Random Forest Regressor
Traffic Prediction
Detecting patterns with Unsupervised Learning
Clustering
Clustering Meanshift
Clustering Meanshift Continues
Affinity Propagation Model
Affinity Propagation Model Continues
Clustering Quality
Program of Clustering Quality
Gaussian Mixture Model
Program of Gaussian Mixture Model
Classification in Artificial Intelligence
Processing Data
Logistic Regression Classifier
Logistic Regression Classifier Example Using Python
Naive Bayes Classifier and its Examples
Confusion Matrix
Example os Confusion Matrix
Support Vector Machines Classifier(SVM)
SVM Classifier Examples
Concept of Logic Programming
Matching the Mathematical Expression
Parsing Family Tree and its Example
Analyzing Geography Logic Programming
Puzzle Solver and its Example
What is Heuristic Search
Local Search Technique
Constraint Satisfaction Problem
Region Coloring Problem
Building Maze
Puzzle Solver
Natural Language Processing
Examine Text Using NLTK
Raw Text Accessing (Tokenization)
NLP Pipeline and Its Example
Regular Expression with NLTK
Stemming
Lemmatization
Segmentation
Segmentation Example
Segmentation Example Continues
Information Extraction
Tag Patterns
Chunking
Representation of Chunks
Chinking
Chunking with Regular Expression
Named Entity Recognition
Trees
Context Free Grammar
Recursive Descent Parsing
Recursive Descent Parsing Continues
Shift Reduce Parsing
Course Certificate
Secure Video
59
Certificate
1
Cost: 5000
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Course Duration:-6h 36m