Udemy - Artificial Intelligence and Predictive Analysis using Python [Course Drive]

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Artificial Intelligence and Predictive Analysis using Python Artificial Intelligence and Predictive Analysis using Python 09 Logic Programming
  • 027 Concept of Logic Programming.mp4 (154.2 MB)
  • 027 Concept of Logic Programming-en.srt (14.6 KB)
  • 028 Matching the Mathematical Expression-en.srt (8.1 KB)
  • 028 Matching the Mathematical Expression.mp4 (78.5 MB)
  • 029 Parsing Family Tree and its Example-en.srt (10.9 KB)
  • 029 Parsing Family Tree and its Example.mp4 (100.5 MB)
  • 030 Analyzing Geography Logic Programming-en.srt (6.6 KB)
  • 030 Analyzing Geography Logic Programming.mp4 (62.4 MB)
  • 031 Puzzle Solver and its Example-en.srt (7.1 KB)
  • 031 Puzzle Solver and its Example.mp4 (60.6 MB)
  • ReadMe.txt (0.2 KB)
  • Visit Coursedrive.org.url (0.1 KB)
    • 01 Introduction
    • 001 Artificial-Intelligence-with-python.zip (3.8 MB)
    • 001 Introduction to Predictive Analysis-en.srt (11.6 KB)
    • 001 Introduction to Predictive Analysis.mp4 (95.4 MB)
    • 002 Random Forest and Extremely Random Forest-en.srt (14.0 KB)
    • 002 Random Forest and Extremely Random Forest.mp4 (116.9 MB)
    02 Class Imbalance and Grid Search
    • 003 Dealing with Class Imbalance-en.srt (8.2 KB)
    • 003 Dealing with Class Imbalance.mp4 (85.2 MB)
    • 004 Grid Search-en.srt (12.6 KB)
    • 004 Grid Search.mp4 (110.3 MB)
    03 Adaboost Regressor
    • 005 Adaboost Regressor-en.srt (9.0 KB)
    • 005 Adaboost Regressor.mp4 (86.4 MB)
    • 006 Predicting Traffic Using Extremely Random Forest Regressor-en.srt (2.8 KB)
    • 006 Predicting Traffic Using Extremely Random Forest Regressor.mp4 (34.6 MB)
    • 007 Traffic Prediction-en.srt (8.3 KB)
    • 007 Traffic Prediction.mp4 (84.1 MB)
    04 Detecting patterns with Unsupervised Learning
    • 008 Detecting patterns with Unsupervised Learning-en.srt (7.3 KB)
    • 008 Detecting patterns with Unsupervised Learning.mp4 (74.8 MB)
    • 009 Clustering-en.srt (8.3 KB)
    • 009 Clustering.mp4 (69.7 MB)
    • 010 Clustering Meanshift-en.srt (5.8 KB)
    • 010 Clustering Meanshift.mp4 (55.5 MB)
    • 011 Clustering Meanshift Continues-en.srt (8.3 KB)
    • 011 Clustering Meanshift Continues.mp4 (60.3 MB)
    05 Affinity Propagation Model
    • 012 Affinity Propagation Model-en.srt (7.2 KB)
    • 012 Affinity Propagation Model.mp4 (75.8 MB)
    • 013 Affinity Propagation Model Continues-en.srt (6.0 KB)
    • 013 Affinity Propagation Model Continues.mp4 (47.3 MB)
    06 Clustering Quality
    • 014 Clustering Quality-en.srt (6.3 KB)
    • 014 Clustering Quality.mp4 (69.9 MB)
    • 015 Program of Clustering Quality-en.srt (8.3 KB)
    • 015 Program of Clustering Quality.mp4 (70.2 MB)
    07 Gaussian Mixture Model
    • 016 Gaussian Mixture Model-en.srt (5.6 KB)
    • 016 Gaussian Mixture Model.mp4 (62.4 MB)
    • 017 Program of Gaussian Mixture Model-en.srt (10.0 KB)
    • 017 Program of Gaussian Mixture Model.mp4 (91.7 MB)
    08 Classifiers
    • 018 Classification in Artificial Intelligence-en.srt (4.3 KB)
    • 018 Classification in Artificial Intelligence.mp4 (21.2 MB)
    • 019 Processing Data-en.srt (10.3 KB)
    • 019 Processing Data.mp4 (65.2 MB)
    • 020 Logistic Regression Classifier-en.srt (3.6 KB)
    • 020 Logistic Regression Classifier.mp4 (16.6 MB)
    • 021 Logistic Regression Classifier Example Using Python-en.srt (7.7 KB)
    • 021 Logistic Regression Classifier Example Using Python.mp4 (61.8 MB)
    • 022 Naive Bayes Classifier and its Examples-en.srt (13.8 KB)
    • 022 Naive Bayes Classifier and its Examples.mp4 (126.5 MB)
    • 023 Confusion Matrix-en.srt (4.9 KB)
    • 023 Confusion Matrix.mp4 (52.3 MB)
    • 024 Example os Confusion Matrix-en.srt (6.8 KB)
    • 024 Example os Confusion Matrix.mp4 (45.5 MB)
    • 025 Support Vector Machines Classifier(SVM)-en.srt (6.3 KB)
    • 025 Support Vector Machines Classifier(SVM).mp4 (45.0 MB)
    • 026 SVM Classifier Examples-en.srt (8.8 KB)
    • 026 SVM Classifier Examples.mp4 (79.0 MB)
    10 Heuristic Search
    • 032 What is Heuristic Search-en.srt (8.2 KB)
    • 032 What is Heuristic Search.mp4 (93.5 MB)
    • 033 Local Search Technique-en.srt (12.4 KB)
    • 033 Local Search Technique.mp4 (132.0 MB)
    • 034 Constraint Satisfaction Problem-en.srt (11.3 KB)
    • 034 Constraint Satisfaction Problem.mp4 (105.0 MB)
    • 035 Region Coloring Problem-en.srt (6.2 KB)
    • 035 Region Coloring Problem.mp4 (53.0 MB)
    • 036 Building Maze-en.srt (8.9 KB)
    • 036 Building Maze.mp4 (77.3 MB)
    • 037 Puzzle Solver-en.srt (11.3 KB)
    • 037 Puzzle Solver.mp4 (105.1 MB)
    11 Natural Language Processing
    • 038 Natural Language Processing-en.srt (8.3 KB)
    • 038 Natural Language Processing.mp4 (70.6 MB)
    • 039 Examine Text Using NLTK-en.srt (5.9 KB)
    • 039 Examine Text Using NLTK.mp4 (60.3 MB)
    • 040 Raw Text Accessing (Tokenization)-en.srt (14.6 KB)
    • 040 Raw Text Accessing (Tokenization).mp4 (119.0 MB)
    • 041 NLP Pipeline and Its Example-en.srt (8.3 KB)
    • 041 NLP Pipeline and Its Example.mp4 (75.0 MB)
    • 042 Regular Expression with NLTK-en.srt (6.0 KB)
    • 042 Regular Expression with NLTK.mp4 (50.9 MB)
    • 043 Stemming-en.srt (8.1 KB)
    • 043 Stemming.mp4 (71.5 MB)
    • 044 Lemmatization-en.srt (7.5 KB)
    • 044 Lemmatization.mp4 (76.8 MB)
    • 045 Segmentation-en.srt (8.0 KB)
    • 045 Segmentation.mp4 (98.3 MB)
    • 046 Segmentation Example-en.srt (3.7 KB)
    • 046 Segmentation Example.mp4 (22.7 MB)
    • 047 Segmentation Example Continues-en.srt (5.5 KB)
    • 047 Segmentation Example Continues.mp4 (27.0 MB)
    • 048 Information Extraction-en.srt (12.2 KB)
    • 048 Information Extraction.mp4 (50.6 MB)

Description

Artificial Intelligence and Predictive Analysis using Python

This course is a comprehensive understanding of AI concepts and its application using Python and iPython.






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

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.



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Udemy - Artificial Intelligence and Predictive Analysis using Python [Course Drive]

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Download torrent
4.2 GB
seeders:20
leechers:26
Udemy - Artificial Intelligence and Predictive Analysis using Python [Course Drive]

Torrent hash: 80E9BF53D185D7138BFC2AFD8562E042B35C3901