Artificial Intelligence and Predictive Analysis using Python
4.3 (151 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62,417 students enrolled

Artificial Intelligence and Predictive Analysis using Python

This course is a comprehensive understanding of AI concepts and its application using Python and iPython.
4.3 (151 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62,417 students enrolled
Created by EDU CBA
Last updated 12/2018
English
English [Auto]
Current price: $64.99 Original price: $99.99 Discount: 35% off
5 hours left at this price!
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This course includes
  • 6.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn What is Artificial Intelligence, Intelligence and Applications of AI.
  • Learn Problem solving using AI, AI search algorithms, Informed (Heuristic) Search Strategies.
  • Learn Local Search Algorithms, Learning System, and Common Sense
  • Learn Genetic algorithms, Expert Systems, and Scikit-learn module
Course content
Expand all 59 lectures 06:21:15
+ Class Imbalance and Grid Search
2 lectures 16:01
Dealing with Class Imbalance
06:41
Grid Search
09:20
+ Adaboost Regressor
3 lectures 16:25
Adaboost Regressor
07:40
Predicting Traffic Using Extremely Random Forest Regressor
02:04
Traffic Prediction
06:41
+ Detecting patterns with Unsupervised Learning
4 lectures 22:17
Detecting patterns with Unsupervised Learning
05:17
Clustering
06:40
Clustering Meanshift
03:59
Clustering Meanshift Continues
06:21
+ Affinity Propagation Model
2 lectures 10:24
Affinity Propagation Model
05:27
Affinity Propagation Model Continues
04:57
+ Clustering Quality
2 lectures 12:22
Clustering Quality
04:57
Program of Clustering Quality
07:25
+ Gaussian Mixture Model
2 lectures 12:55
Gaussian Mixture Model
04:27
Program of Gaussian Mixture Model
08:28
+ Classifiers
9 lectures 54:05
Classification in Artificial Intelligence
03:13
Processing Data
08:31
Logistic Regression Classifier
02:52
Logistic Regression Classifier Example Using Python
06:40
Naive Bayes Classifier and its Examples
10:52
Confusion Matrix
03:41
Example os Confusion Matrix
05:37
Support Vector Machines Classifier(SVM)
05:08
SVM Classifier Examples
07:31
+ Logic Programming
5 lectures 37:34
Concept of Logic Programming
10:49
Matching the Mathematical Expression
06:35
Parsing Family Tree and its Example
09:16
Analyzing Geography Logic Programming
05:20
Puzzle Solver and its Example
05:34
+ Heuristic Search
6 lectures 44:24
What is Heuristic Search
06:12
Local Search Technique
08:44
Constraint Satisfaction Problem
08:42
Region Coloring Problem
04:48
Building Maze
07:16
Puzzle Solver
08:42
Requirements
  • Basic knowledge of Python
  • Beginner knowledge of Statistics
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

Who this course is for:
  • Students and professionals who are interested in learning robotics and bio metrics.
  • People who are very keen about learning Artificial Intelligence.