Udemy - Artificial Intelligence and Predictive Analysis using Python [Course Drive]
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size4.2 GB
- Uploaded Bycoursedrive
- Downloads200
- Last checkedApr. 21st '20
- Date uploadedApr. 20th '20
- Seeders 20
- Leechers26
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.
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)
Code:
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