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001 Artificial-Intelligence-with-python.zip |
3.75MB |
001 Introduction to Predictive Analysis.mp4 |
95.42MB |
001 Introduction to Predictive Analysis-en.srt |
11.58KB |
002 Random Forest and Extremely Random Forest.mp4 |
116.86MB |
002 Random Forest and Extremely Random Forest-en.srt |
13.99KB |
003 Dealing with Class Imbalance.mp4 |
85.23MB |
003 Dealing with Class Imbalance-en.srt |
8.19KB |
004 Grid Search.mp4 |
110.31MB |
004 Grid Search-en.srt |
12.58KB |
005 Adaboost Regressor.mp4 |
86.36MB |
005 Adaboost Regressor-en.srt |
8.95KB |
006 Predicting Traffic Using Extremely Random Forest Regressor.mp4 |
34.57MB |
006 Predicting Traffic Using Extremely Random Forest Regressor-en.srt |
2.77KB |
007 Traffic Prediction.mp4 |
84.12MB |
007 Traffic Prediction-en.srt |
8.28KB |
008 Detecting patterns with Unsupervised Learning.mp4 |
74.84MB |
008 Detecting patterns with Unsupervised Learning-en.srt |
7.35KB |
009 Clustering.mp4 |
69.67MB |
009 Clustering-en.srt |
8.34KB |
010 Clustering Meanshift.mp4 |
55.48MB |
010 Clustering Meanshift-en.srt |
5.80KB |
011 Clustering Meanshift Continues.mp4 |
60.28MB |
011 Clustering Meanshift Continues-en.srt |
8.25KB |
012 Affinity Propagation Model.mp4 |
75.81MB |
012 Affinity Propagation Model-en.srt |
7.18KB |
013 Affinity Propagation Model Continues.mp4 |
47.25MB |
013 Affinity Propagation Model Continues-en.srt |
5.99KB |
014 Clustering Quality.mp4 |
69.90MB |
014 Clustering Quality-en.srt |
6.25KB |
015 Program of Clustering Quality.mp4 |
70.21MB |
015 Program of Clustering Quality-en.srt |
8.29KB |
016 Gaussian Mixture Model.mp4 |
62.41MB |
016 Gaussian Mixture Model-en.srt |
5.56KB |
017 Program of Gaussian Mixture Model.mp4 |
91.67MB |
017 Program of Gaussian Mixture Model-en.srt |
10.02KB |
018 Classification in Artificial Intelligence.mp4 |
21.20MB |
018 Classification in Artificial Intelligence-en.srt |
4.28KB |
019 Processing Data.mp4 |
65.17MB |
019 Processing Data-en.srt |
10.28KB |
020 Logistic Regression Classifier.mp4 |
16.62MB |
020 Logistic Regression Classifier-en.srt |
3.63KB |
021 Logistic Regression Classifier Example Using Python.mp4 |
61.77MB |
021 Logistic Regression Classifier Example Using Python-en.srt |
7.67KB |
022 Naive Bayes Classifier and its Examples.mp4 |
126.48MB |
022 Naive Bayes Classifier and its Examples-en.srt |
13.80KB |
023 Confusion Matrix.mp4 |
52.30MB |
023 Confusion Matrix-en.srt |
4.86KB |
024 Example os Confusion Matrix.mp4 |
45.53MB |
024 Example os Confusion Matrix-en.srt |
6.81KB |
025 Support Vector Machines Classifier(SVM).mp4 |
45.05MB |
025 Support Vector Machines Classifier(SVM)-en.srt |
6.29KB |
026 SVM Classifier Examples.mp4 |
79.03MB |
026 SVM Classifier Examples-en.srt |
8.83KB |
027 Concept of Logic Programming.mp4 |
154.15MB |
027 Concept of Logic Programming-en.srt |
14.55KB |
028 Matching the Mathematical Expression.mp4 |
78.53MB |
028 Matching the Mathematical Expression-en.srt |
8.11KB |
029 Parsing Family Tree and its Example.mp4 |
100.52MB |
029 Parsing Family Tree and its Example-en.srt |
10.91KB |
030 Analyzing Geography Logic Programming.mp4 |
62.40MB |
030 Analyzing Geography Logic Programming-en.srt |
6.63KB |
031 Puzzle Solver and its Example.mp4 |
60.59MB |
031 Puzzle Solver and its Example-en.srt |
7.06KB |
032 What is Heuristic Search.mp4 |
93.51MB |
032 What is Heuristic Search-en.srt |
8.23KB |
033 Local Search Technique.mp4 |
132.05MB |
033 Local Search Technique-en.srt |
12.41KB |
034 Constraint Satisfaction Problem.mp4 |
105.05MB |
034 Constraint Satisfaction Problem-en.srt |
11.33KB |
035 Region Coloring Problem.mp4 |
52.96MB |
035 Region Coloring Problem-en.srt |
6.23KB |
036 Building Maze.mp4 |
77.30MB |
036 Building Maze-en.srt |
8.89KB |
037 Puzzle Solver.mp4 |
105.06MB |
037 Puzzle Solver-en.srt |
11.33KB |
038 Natural Language Processing.mp4 |
70.62MB |
038 Natural Language Processing-en.srt |
8.27KB |
039 Examine Text Using NLTK.mp4 |
60.28MB |
039 Examine Text Using NLTK-en.srt |
5.86KB |
040 Raw Text Accessing (Tokenization).mp4 |
118.98MB |
040 Raw Text Accessing (Tokenization)-en.srt |
14.62KB |
041 NLP Pipeline and Its Example.mp4 |
75.03MB |
041 NLP Pipeline and Its Example-en.srt |
8.34KB |
042 Regular Expression with NLTK.mp4 |
50.90MB |
042 Regular Expression with NLTK-en.srt |
6.00KB |
043 Stemming.mp4 |
71.51MB |
043 Stemming-en.srt |
8.07KB |
044 Lemmatization.mp4 |
76.84MB |
044 Lemmatization-en.srt |
7.46KB |
045 Segmentation.mp4 |
98.25MB |
045 Segmentation-en.srt |
8.03KB |
046 Segmentation Example.mp4 |
22.74MB |
046 Segmentation Example-en.srt |
3.70KB |
047 Segmentation Example Continues.mp4 |
27.04MB |
047 Segmentation Example Continues-en.srt |
5.55KB |
048 Information Extraction.mp4 |
50.61MB |
048 Information Extraction-en.srt |
12.18KB |
049 Tag Patterns.mp4 |
46.72MB |
049 Tag Patterns-en.srt |
4.01KB |
050 Chunking.mp4 |
106.09MB |
050 Chunking-en.srt |
12.17KB |
051 Representation of Chunks.mp4 |
69.71MB |
051 Representation of Chunks-en.srt |
6.81KB |
052 Chinking.mp4 |
87.88MB |
052 Chinking-en.srt |
10.20KB |
053 Chunking wirh Regular Expression.mp4 |
95.60MB |
053 Chunking wirh Regular Expression-en.srt |
9.95KB |
054 Named Entity Recognition.mp4 |
78.66MB |
054 Named Entity Recognition-en.srt |
8.09KB |
055 Trees.mp4 |
62.26MB |
055 Trees-en.srt |
9.59KB |
056 Context Free Grammar.mp4 |
38.26MB |
056 Context Free Grammar-en.srt |
4.05KB |
057 Recursive Descent Parsing.mp4 |
66.34MB |
057 Recursive Descent Parsing-en.srt |
8.47KB |
058 Recursive Descent Parsing Continues.mp4 |
42.46MB |
058 Recursive Descent Parsing Continues-en.srt |
9.80KB |
059 Shift Reduce Parsing.mp4 |
80.18MB |
059 Shift Reduce Parsing-en.srt |
12.34KB |
ReadMe.txt |
220B |
ReadMe.txt |
220B |
Visit Coursedrive.org.url |
124B |
Visit Coursedrive.org.url |
124B |