Master Natural Language Processing using case studies

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Master Natural Language Processing using case studies

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Master Natural Language Processing using case studies
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TutsNode.com.txt
TXT
63 B
[TGx]Downloaded from torrentgalaxy.to .txt
TXT
585 B
[TutsNode.com] - Master Natural Language Processing using case studies
01 How To Complete this Course
001 How To Complete this Course.en.srt
SRT
1.29 KB
001 How To Complete this Course.mp4
MP4
7.86 MB
02 Introduction to NLP and Regex
001 Introduction to NLP.en.srt
SRT
8.58 KB
001 Introduction to NLP.mp4
MP4
22.23 MB
002 Text Data Part1.en.srt
SRT
6.94 KB
002 Text Data Part1.mp4
MP4
46.21 MB
002 code1.zip
ZIP
1.09 MB
003 Text Data Part2.en.srt
SRT
16.12 KB
003 Text Data Part2.mp4
MP4
40.48 MB
004 Text Encoding.en.srt
SRT
9.93 KB
004 Text Encoding.mp4
MP4
21.65 MB
005 Regular Expression _ Part1.en.srt
SRT
12.52 KB
005 Regular Expression _ Part1.mp4
MP4
54.02 MB
006 Regular Expression _ Part2.en.srt
SRT
21.97 KB
006 Regular Expression _ Part2.mp4
MP4
129.88 MB
007 Regular Expression _ Part3.en.srt
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20.72 KB
007 Regular Expression _ Part3.mp4
MP4
73.62 MB
008 Regular Expression _ Part4.en.srt
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16.52 KB
008 Regular Expression _ Part4.mp4
MP4
58.01 MB
009 Regular Expression _ Part5.en.srt
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9.83 KB
009 Regular Expression _ Part5.mp4
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32.79 MB
010 Regular Expression _ Part6.en.srt
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12.06 KB
010 Regular Expression _ Part6.mp4
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79.63 MB
011 Regular Expression _ Use Case.en.srt
SRT
9.58 KB
011 Regular Expression _ Use Case.mp4
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39.38 MB
03 Introduction to Lexical Processing
001 Stopwords.en.srt
SRT
37.44 KB
001 Stopwords.mp4
MP4
136.53 MB
002 Splitting Words.en.srt
SRT
16.26 KB
002 Splitting Words.mp4
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103.89 MB
003 Bag- Of- Words.en.srt
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24.9 KB
003 Bag- Of- Words.mp4
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129.15 MB
004 Handling Similar Text Words Part1.en.srt
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7.91 KB
004 Handling Similar Text Words Part1.mp4
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26.76 MB
005 Handling Similar Text Words Part2.en.srt
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18.59 KB
005 Handling Similar Text Words Part2.mp4
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85.71 MB
006 Case Study1.en.srt
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10.01 KB
006 Case Study1.mp4
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71.11 MB
007 Tf-IDF.en.srt
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11.67 KB
007 Tf-IDF.mp4
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43.65 MB
008 Case Study Part2.en.srt
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4.87 KB
008 Case Study Part2.mp4
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36.3 MB
009 Case Study.en.srt
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18.21 KB
009 Case Study.mp4
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114.46 MB
013 code1.zip
ZIP
1.09 MB
013 code2.zip
ZIP
862.38 KB
013 code3.zip
ZIP
95.87 MB
013 stopword.csv
CSV
469.54 KB
04 Advanced Lexical Processing
001 Spelling Mistakes.en.srt
SRT
16.47 KB
001 Spelling Mistakes.mp4
MP4
44.29 MB
002 Soundex Algorithm.en.srt
SRT
17.14 KB
002 Soundex Algorithm.mp4
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49.9 MB
003 Case Study.en.srt
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8.49 KB
003 Case Study.mp4
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45.43 MB
004 Dealing with Spelling Mistakes.en.srt
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15.92 KB
004 Dealing with Spelling Mistakes.mp4
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59.91 MB
005 Case Study 2.en.srt
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8.44 KB
005 Case Study 2.mp4
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44.63 MB
006 Case Study _ Spell Corrector1.en.srt
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6.18 KB
006 Case Study _ Spell Corrector1.mp4
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28.43 MB
007 Case Study _ Spell Corrector2.en.srt
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17.11 KB
007 Case Study _ Spell Corrector2.mp4
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008 Case Study _ Spell Corrector3.en.srt
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5.27 KB
008 Case Study _ Spell Corrector3.mp4
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29.51 MB
009 Handling Combined Word Like New Delhi.en.srt
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12.16 KB
009 Handling Combined Word Like New Delhi.mp4
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43.27 MB
010 Handling Combined Word Like New Delhi2.en.srt
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3.33 KB
010 Handling Combined Word Like New Delhi2.mp4
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15.13 MB
022 code2.zip
ZIP
862.38 KB
022 code3.zip
ZIP
95.87 MB
022 code4.zip
ZIP
61.61 MB
022 code5.zip
ZIP
911.25 KB
05 Basic Syntactic Processing
001 What is Syntactic Processing_.en.srt
SRT
17.25 KB
001 What is Syntactic Processing_.mp4
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59.57 MB
002 Parsing.en.srt
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12.32 KB
002 Parsing.mp4
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63.04 MB
003 Grammer for English Sentence Part1.en.srt
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16.42 KB
003 Grammer for English Sentence Part1.mp4
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69.72 MB
004 Grammer for English Sentence Part2.en.srt
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14.5 KB
004 Grammer for English Sentence Part2.mp4
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57.72 MB
005 Case Study _ Assign Grammer to English Sentence Part1.en.srt
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18.58 KB
005 Case Study _ Assign Grammer to English Sentence Part1.mp4
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121.67 MB
006 Case Study _ Assign Grammer to English Sentence Part2.en.srt
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10.75 KB
006 Case Study _ Assign Grammer to English Sentence Part2.mp4
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72.29 MB
06 Intermediate Syntactic Processing
001 Stochastic Parsing.en.srt
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15.65 KB
001 Stochastic Parsing.mp4
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63.64 MB
002 Viterbi Algorithm.en.srt
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10.11 KB
002 Viterbi Algorithm.mp4
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003 Hidden Markov Model.en.srt
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17.89 KB
003 Hidden Markov Model.mp4
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61.36 MB
004 Decoding Problem Part1.en.srt
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7.45 KB
004 Decoding Problem Part1.mp4
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30.55 MB
005 Decoding Problem Part2.en.srt
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9.29 KB
005 Decoding Problem Part2.mp4
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64.5 MB
006 Learning Hidden Markov Model.en.srt
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6.15 KB
006 Learning Hidden Markov Model.mp4
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38.97 MB
007 Case Study On Syntactic Processing _ Part1.en.srt
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21.87 KB
007 Case Study On Syntactic Processing _ Part1.mp4
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139.7 MB
008 Case Study On Syntactic Processing _ Part2.en.srt
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008 Case Study On Syntactic Processing _ Part2.mp4
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009 RNN.en.srt
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6 KB
009 RNN.mp4
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07 Advanced Syntactic Processing
001 Introduction.en.srt
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6.26 KB
001 Introduction.mp4
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20.17 MB
002 Issue With Shallow Parsing.en.srt
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2.58 KB
002 Issue With Shallow Parsing.mp4
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6.97 MB
003 CFG Grammer Part 1.en.srt
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14.4 KB
003 CFG Grammer Part 1.mp4
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50.23 MB
004 CFG Grammer Part 2.en.srt
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11.89 KB
004 CFG Grammer Part 2.mp4
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34.49 MB
005 Top-Down Parsing.en.srt
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25.35 KB
005 Top-Down Parsing.mp4
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79.95 MB
006 Case Study on Advanced Syntactic Processing Part1.en.srt
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7.36 KB
006 Case Study on Advanced Syntactic Processing Part1.mp4
MP4
36.79 MB
007 Bottom up.en.srt
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23.35 KB
007 Bottom up.mp4
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101.2 MB
008 Case Study on Advanced Syntactic Processing Part2.en.srt
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5.72 KB
008 Case Study on Advanced Syntactic Processing Part2.mp4
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24.74 MB
009 Practical Issues with Above Approach.en.srt
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4.12 KB
009 Practical Issues with Above Approach.mp4
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22.95 MB
010 PCFG.en.srt
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8.11 KB
010 PCFG.mp4
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31.59 MB
08 Probabilistic Approach
001 Probabilistic CFG Grammer.en.srt
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10.26 KB
001 Probabilistic CFG Grammer.mp4
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39.84 MB
002 Case Study.en.srt
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4.49 KB
002 Case Study.mp4
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25.17 MB
003 Chomsky Normal Form.en.srt
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6.89 KB
003 Chomsky Normal Form.mp4
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23.55 MB
004 Dependency Parsing Part1.en.srt
SRT
11.8 KB
004 Dependency Parsing Part1.mp4
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43.29 MB
005 Dependency Parsing Part2.en.srt
SRT
16.09 KB
005 Dependency Parsing Part2.mp4
MP4
54.28 MB
09 Syntactic Processing With Real World Project
001 Introduction to Information Extraction Project Part1.en.srt
SRT
8.98 KB
001 Introduction to Information Extraction Project Part1.mp4
MP4
30.61 MB
002 Case Study Part2.en.srt
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26.83 KB
002 Case Study Part2.mp4
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174.42 MB
003 Case Study Part3.en.srt
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24.76 KB
003 Case Study Part3.mp4
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140.92 MB
004 Case Study Part4.en.srt
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8.37 KB
004 Case Study Part4.mp4
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53.28 MB
005 Case Study Part5.en.srt
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56.49 KB
005 Case Study Part5.mp4
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347.63 MB
006 Case Study Part6.en.srt
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11.21 KB
006 Case Study Part6.mp4
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69.15 MB
007 Case Study Part7.en.srt
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14.54 KB
007 Case Study Part7.mp4
MP4
113.4 MB
10 Introduction to Semantic Processing
001 Introduction.en.srt
SRT
4.88 KB
001 Introduction.mp4
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17.98 MB
002 Concepts.en.srt
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20.57 KB
002 Concepts.mp4
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59.12 MB
003 Entity.en.srt
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13.66 KB
003 Entity.mp4
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40.99 MB
004 Arity.en.srt
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8.21 KB
004 Arity.mp4
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30.25 MB
005 Reification.en.srt
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4.48 KB
005 Reification.mp4
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21.08 MB
006 Schema.en.srt
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6.73 KB
006 Schema.mp4
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33.42 MB
007 Semantic Associations Part1.en.srt
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11.39 KB
007 Semantic Associations Part1.mp4
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40.01 MB
008 Semantic Associations Part2.en.srt
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7.33 KB
008 Semantic Associations Part2.mp4
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21.41 MB
009 Terms And Concept.en.srt
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11.83 KB
009 Terms And Concept.mp4
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44.28 MB
010 Principle of Composition.en.srt
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3.58 KB
010 Principle of Composition.mp4
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10.03 MB
011 WordNet.en.srt
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17.29 KB
011 WordNet.mp4
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56.76 MB
012 Word Sense Disambiguation.en.srt
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9.61 KB
012 Word Sense Disambiguation.mp4
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27.09 MB
013 Case Study.en.srt
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18.82 KB
013 Case Study.mp4
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101.03 MB
11 Advance Semantic Processing Part1
001 Introduction To Distributional Semantics.en.srt
SRT
3.51 KB
001 Introduction To Distributional Semantics.mp4
MP4
13.58 MB
002 Distributional Semantics.en.srt
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9.33 KB
002 Distributional Semantics.mp4
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29.09 MB
003 Occurrence Matrix Part1.en.srt
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11.83 KB
003 Occurrence Matrix Part1.mp4
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52.29 MB
004 Occurrence Matrix Part2.en.srt
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9.42 KB
004 Occurrence Matrix Part2.mp4
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37.24 MB
005 Co- Occurrence Matrix.en.srt
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6.74 KB
005 Co- Occurrence Matrix.mp4
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30.7 MB
006 Word Vectors Part1.en.srt
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6.93 KB
006 Word Vectors Part1.mp4
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44.11 MB
007 Distance Metric.en.srt
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7.68 KB
007 Distance Metric.mp4
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34.49 MB
008 Word Vectors Part2.en.srt
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7.5 KB
008 Word Vectors Part2.mp4
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39.7 MB
009 Understanding Word Embeddings.en.srt
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14.42 KB
009 Understanding Word Embeddings.mp4
MP4
66.78 MB
12 Advance Semantic Processing Part2
001 LSA - Latent Semantic Analysis.en.srt
SRT
14.09 KB
001 LSA - Latent Semantic Analysis.mp4
MP4
59.39 MB
002 Case Study With LSA.en.srt
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4.56 KB
002 Case Study With LSA.mp4
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38.12 MB
003 Word2vec Part1.en.srt
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12.77 KB
003 Word2vec Part1.mp4
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43.53 MB
004 Word2vec Part2.en.srt
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8.99 KB
004 Word2vec Part2.mp4
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30.55 MB
005 Case Study _ LSA.en.srt
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2.71 KB
005 Case Study _ LSA.mp4
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18.95 MB
006 Case Study _ Word2vec Part1.en.srt
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7.96 KB
006 Case Study _ Word2vec Part1.mp4
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65.79 MB
007 Case Study _ Word2vec Part2.en.srt
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4.01 KB
007 Case Study _ Word2vec Part2.mp4
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34.24 MB
008 Case Study _ Word2vec Part3.en.srt
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5.08 KB
008 Case Study _ Word2vec Part3.mp4
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43.36 MB
009 Case Study _ Word2vec Part4.en.srt
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4.03 KB
009 Case Study _ Word2vec Part4.mp4
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33.84 MB
010 Case Study _ Classification Part1.en.srt
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11.69 KB
010 Case Study _ Classification Part1.mp4
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94.19 MB
011 Case Study _ Classification Part2.en.srt
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4.88 KB
011 Case Study _ Classification Part2.mp4
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41.63 MB
13 Pre-req _ Python Fundamentals
001 Installation of Python and Anaconda.en.srt
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13.43 KB
001 Installation of Python and Anaconda.mp4
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70.39 MB
002 Python Introduction.en.srt
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4.19 KB
002 Python Introduction.mp4
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9.3 MB
003 Variables in Python.en.srt
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24.49 KB
003 Variables in Python.mp4
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90.21 MB
004 Numeric Operations in Python.en.srt
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8.14 KB
004 Numeric Operations in Python.mp4
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30.08 MB
005 Logical Operations.en.srt
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3.79 KB
005 Logical Operations.mp4
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13.97 MB
006 If else Loop.en.srt
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12.62 KB
006 If else Loop.mp4
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52.99 MB
007 for while Loop.en.srt
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16.22 KB
007 for while Loop.mp4
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62.9 MB
008 Functions.en.srt
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17.79 KB
008 Functions.mp4
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69.03 MB
009 String part1.en.srt
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19.4 KB
009 String part1.mp4
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87.12 MB
010 String part2.en.srt
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4.2 KB
010 String part2.mp4
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22.74 MB
011 List Part1.en.srt
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3.41 KB
011 List Part1.mp4
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8.97 MB
012 List Part2.en.srt
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012 List Part2.mp4
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013 List Part3.en.srt
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12.69 KB
013 List Part3.mp4
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60.8 MB
014 List Part4.en.srt
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014 List Part4.mp4
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52.98 MB
015 Tuples.en.srt
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12.36 KB
015 Tuples.mp4
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54.51 MB
016 Sets.en.srt
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9.13 KB
016 Sets.mp4
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47.55 MB
017 Dictionaries.en.srt
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9.72 KB
017 Dictionaries.mp4
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50.93 MB
018 Comprehentions.en.srt
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9.71 KB
018 Comprehentions.mp4
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60.2 MB
102 Installing-Python.Teclov.pdf
PDF
1.37 MB
102 Python-code-udemy.zip
ZIP
16.42 KB
14 Pre-req _ Numpy
001 Introduction.en.srt
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7.08 KB
001 Introduction.mp4
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21.89 MB
002 Numpy Operations Part1.en.srt
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28.65 KB
002 Numpy Operations Part1.mp4
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104.14 MB
003 Numpy Operations Part2.en.srt
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34.97 KB
003 Numpy Operations Part2.mp4
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139.27 MB
120 Teclov-numpy.ipynb.zip
ZIP
5.16 KB
15 Pre-req _ Pandas
001 Introduction.en.srt
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9.19 KB
001 Introduction.mp4
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33.42 MB
002 Series.en.srt
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11.33 KB
002 Series.mp4
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49.8 MB
003 DataFrame.en.srt
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10.91 KB
003 DataFrame.mp4
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54.35 MB
004 Operations Part1.en.srt
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1.76 KB
004 Operations Part1.mp4
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9.94 MB
005 Operations Part2.en.srt
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7.16 KB
005 Operations Part2.mp4
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37.08 MB
006 Indexes.en.srt
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8.67 KB
006 Indexes.mp4
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41.86 MB
007 loc and iloc.en.srt
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11.46 KB
007 loc and iloc.mp4
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49.06 MB
008 Reading CSV.en.srt
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8.21 KB
008 Reading CSV.mp4
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34.23 MB
009 Merging Part1.en.srt
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5.14 KB
009 Merging Part1.mp4
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24.71 MB
010 groupby.en.srt
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8.13 KB
010 groupby.mp4
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011 Merging Part2.en.srt
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011 Merging Part2.mp4
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012 Pivot Table.en.srt
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5.26 KB
012 Pivot Table.mp4
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22.83 MB
123 Pandas.zip
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15.46 KB
16 Pre-req _ Some Fun With Maths
001 Linear Algebra _ Vectors.en.srt
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59.25 KB
001 Linear Algebra _ Vectors.mp4
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142.68 MB
002 Linear Algebra _ Matrix Part1.en.srt
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002 Linear Algebra _ Matrix Part1.mp4
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003 Linear Algebra _ Matrix Part2.en.srt
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003 Linear Algebra _ Matrix Part2.mp4
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004 Linear Algebra _ Going From 2D to nD Part1.en.srt
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004 Linear Algebra _ Going From 2D to nD Part1.mp4
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005 Linear Algebra _ Going From 2D to nD Part2.en.srt
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005 Linear Algebra _ Going From 2D to nD Part2.mp4
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17 Pre-req _ Data Visualisation
001 Matplotlib.en.srt
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001 Matplotlib.mp4
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002 Seaborn.en.srt
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002 Seaborn.mp4
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003 Case study.en.srt
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003 Case study.mp4
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004 Seaborn On Time Series Data.en.srt
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004 Seaborn On Time Series Data.mp4
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140 Datavisual.zip
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1.2 MB
18 Pre-req _ Simple Linear Regression
001 Introduction to Machine Learning.en.srt
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001 Introduction to Machine Learning.mp4
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002 Types of Machine Learning.en.srt
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002 Types of Machine Learning.mp4
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003 Introduction to Linear Regression (LR).en.srt
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003 Introduction to Linear Regression (LR).mp4
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15.51 MB
004 How LR Works_.en.srt
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004 How LR Works_.mp4
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005 Some Fun With Maths Behind LR.en.srt
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005 Some Fun With Maths Behind LR.mp4
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006 R Square.en.srt
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006 R Square.mp4
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45.4 MB
007 LR Case Study Part1.en.srt
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007 LR Case Study Part1.mp4
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008 LR Case Study Part2.en.srt
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008 LR Case Study Part2.mp4
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009 LR Case Study Part3.en.srt
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009 LR Case Study Part3.mp4
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39 MB
010 Residual Square Error (RSE).en.srt
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010 Residual Square Error (RSE).mp4
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144 code-LR-Teclov.zip
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19 Pre-req _ Gradient Descent
001 Pre - Req For Gradient Descent Part1.en.srt
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001 Pre - Req For Gradient Descent Part1.mp4
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002 Pre - Req For Gradient Descent Part2.en.srt
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002 Pre - Req For Gradient Descent Part2.mp4
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003 Cost Functions.en.srt
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003 Cost Functions.mp4
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004 Defining Cost Functions More Formally.en.srt
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004 Defining Cost Functions More Formally.mp4
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005 Gradient Descent.en.srt
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005 Gradient Descent.mp4
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006 Optimisation.en.srt
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006 Optimisation.mp4
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007 Closed Form Vs Gradient Descent.en.srt
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007 Closed Form Vs Gradient Descent.mp4
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008 Gradient Descent Case Study.en.srt
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008 Gradient Descent Case Study.mp4
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154 Gradient+Descent+Updated.zip
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20 Pre-req _ Classification _ KNN
001 Introduction to Classification.en.srt
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001 Introduction to Classification.mp4
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002 Defining Classification Mathematically.en.srt
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002 Defining Classification Mathematically.mp4
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003 Introduction to KNN.en.srt
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003 Introduction to KNN.mp4
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004 Accuracy Of KNN.en.srt
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004 Accuracy Of KNN.mp4
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005 Effectiveness of KNN.en.srt
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005 Effectiveness of KNN.mp4
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006 Distance Metrics.en.srt
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006 Distance Metrics.mp4
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007 Distance Metrics Part2.en.srt
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007 Distance Metrics Part2.mp4
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008 Finding k.en.srt
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008 Finding k.mp4
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009 KNN on Regression.en.srt
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009 KNN on Regression.mp4
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010 Case Study.en.srt
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010 Case Study.mp4
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011 Classification Case1.en.srt
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011 Classification Case1.mp4
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012 Classification Case2.en.srt
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012 Classification Case2.mp4
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013 Classification Case3.en.srt
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013 Classification Case3.mp4
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014 Classification Case4.en.srt
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014 Classification Case4.mp4
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162 KNN.zip
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21 Pre-req _ Logistic Regression
001 Introduction.en.srt
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001 Introduction.mp4
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002 Sigmoid Function.en.srt
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002 Sigmoid Function.mp4
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003 Log Odds.en.srt
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003 Log Odds.mp4
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004 Case study.en.srt
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004 Case study.mp4
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176 LogisticReg.zip
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22 Pre-req _ Advanced Machine Learning Algorithms
001 Introduction.en.srt
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001 Introduction.mp4
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002 Example Part1.en.srt
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002 Example Part1.mp4
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003 Example Part2.en.srt
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003 Example Part2.mp4
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004 Optimal Solution.en.srt
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004 Optimal Solution.mp4
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005 Case Study.en.srt
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005 Case Study.mp4
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006 Regularization.en.srt
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006 Regularization.mp4
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007 Ridge and Lasso.en.srt
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007 Ridge and Lasso.mp4
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008 Case Study.en.srt
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008 Case Study.mp4
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009 Model Selection.en.srt
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009 Model Selection.mp4
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010 Adjusted R Square.en.srt
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010 Adjusted R Square.mp4
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180 AdvanceReg.zip
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23 Pre-req _ Deep Learning introduction
001 Introduction.en.srt
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001 Introduction.mp4
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002 History of Deep Learning.en.srt
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002 History of Deep Learning.mp4
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003 Perceptron.en.srt
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003 Perceptron.mp4
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004 Multi level perceptron.en.srt
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004 Multi level perceptron.mp4
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005 Neural network playground.en.srt
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005 Neural network playground.mp4
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006 Representations.en.srt
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006 Representations.mp4
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007 Training Neural network part1.en.srt
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007 Training Neural network part1.mp4
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008 Training Neural network part2.en.srt
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008 Training Neural network part2.mp4
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009 Training Neural network part3.en.srt
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009 Training Neural network part3.mp4
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010 Activation Function.en.srt
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010 Activation Function.mp4
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