Udemy - Artificial Intelligence and Predictive Analysis using Pyt...
- Category Other
- Type Tutorials
- Language English
- Total size 4.2 GB
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- Downloads 588
- Last checked 4 days ago
- Date uploaded 5 years ago
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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
β’ Learn What is Artificial Intelligence, Intelligence and Applications of AI.
β’ Learn Problem solving using AI, AI search algorithms, Informed (Heuristic) Search Strategies.
β’ Learn Local Search Algorithms, Learning System, and Common Sense
β’ Learn Genetic algorithms, Expert Systems, and Scikit-learn module
Requirements
β’ Basic knowledge of Python
β’ 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;
β’ What is Artificial Intelligence?
β’ Intelligence
β’ Applications of AI
β’ Problem solving
β’ AI search algorithms
β’ Informed (Heuristic) Search Strategies
β’ Local Search Algorithms
β’ Learning System
β’ Common Sense
β’ Genetic algorithms
β’ Expert Systems
β’ Scikit-learn module
Who this course is for:
β’ Students and professionals who are interested in learning robotics and bio metrics.
β’ People who are very keen about learning Artificial Intelligence.
Files:
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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 049 Tag Patterns-en.srt (4.0 KB)
- 049 Tag Patterns.mp4 (46.7 MB)
- 050 Chunking-en.srt (12.2 KB)
- 050 Chunking.mp4 (106.1 MB)
- 051 Representation of Chunks-en.srt (6.8 KB)
- 051 Representation of Chunks.mp4 (69.7 MB)
- 052 Chinking-en.srt (10.2 KB)
- 052 Chinking.mp4 (87.9 MB)
- 053 Chunking wirh Regular Expression-en.srt (10.0 KB)
- 053 Chunking wirh Regular Expression.mp4 (95.6 MB)
- 054 Named Entity Recognition-en.srt (8.1 KB)
- 054 Named Entity Recognition.mp4 (78.7 MB)
- 055 Trees-en.srt (9.6 KB)
- 055 Trees.mp4 (62.3 MB)
- 056 Context Free Grammar-en.srt (4.1 KB)
- 056 Context Free Grammar.mp4 (38.3 MB)
- 057 Recursive Descent Parsing-en.srt (8.5 KB)
- 057 Recursive Descent Parsing.mp4 (66.3 MB)
- 058 Recursive Descent Parsing Continues-en.srt (9.8 KB)
- 058 Recursive Descent Parsing Continues.mp4 (42.5 MB)
- 059 Shift Reduce Parsing-en.srt (12.3 KB)
- 059 Shift Reduce Parsing.mp4 (80.2 MB)
- Visit Coursedrive.org.url (0.1 KB)
- ReadMe.txt (0.2 KB)
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