|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
544B |
| 001 How To Complete this Course.en.srt |
1.29KB |
| 001 How To Complete this Course.mp4 |
7.86MB |
| 001 Installation of Python and Anaconda.en.srt |
13.43KB |
| 001 Installation of Python and Anaconda.mp4 |
70.39MB |
| 001 Introduction.en.srt |
12.98KB |
| 001 Introduction.en.srt |
10.04KB |
| 001 Introduction.en.srt |
9.19KB |
| 001 Introduction.en.srt |
8.20KB |
| 001 Introduction.en.srt |
7.08KB |
| 001 Introduction.en.srt |
6.26KB |
| 001 Introduction.en.srt |
4.88KB |
| 001 Introduction.mp4 |
43.25MB |
| 001 Introduction.mp4 |
33.42MB |
| 001 Introduction.mp4 |
27.23MB |
| 001 Introduction.mp4 |
23.71MB |
| 001 Introduction.mp4 |
21.89MB |
| 001 Introduction.mp4 |
20.17MB |
| 001 Introduction.mp4 |
17.98MB |
| 001 Introduction to Classification.en.srt |
18.71KB |
| 001 Introduction to Classification.mp4 |
47.83MB |
| 001 Introduction To Distributional Semantics.en.srt |
3.51KB |
| 001 Introduction To Distributional Semantics.mp4 |
13.58MB |
| 001 Introduction to Information Extraction Project Part1.en.srt |
8.98KB |
| 001 Introduction to Information Extraction Project Part1.mp4 |
30.61MB |
| 001 Introduction to Machine Learning.en.srt |
2.49KB |
| 001 Introduction to Machine Learning.mp4 |
9.70MB |
| 001 Introduction to NLP.en.srt |
8.58KB |
| 001 Introduction to NLP.mp4 |
22.23MB |
| 001 Linear Algebra _ Vectors.en.srt |
59.25KB |
| 001 Linear Algebra _ Vectors.mp4 |
142.68MB |
| 001 LSA - Latent Semantic Analysis.en.srt |
14.09KB |
| 001 LSA - Latent Semantic Analysis.mp4 |
59.39MB |
| 001 Matplotlib.en.srt |
31.68KB |
| 001 Matplotlib.mp4 |
153.79MB |
| 001 Pre - Req For Gradient Descent Part1.en.srt |
20.60KB |
| 001 Pre - Req For Gradient Descent Part1.mp4 |
54.59MB |
| 001 Probabilistic CFG Grammer.en.srt |
10.26KB |
| 001 Probabilistic CFG Grammer.mp4 |
39.84MB |
| 001 Spelling Mistakes.en.srt |
16.47KB |
| 001 Spelling Mistakes.mp4 |
44.29MB |
| 001 Stochastic Parsing.en.srt |
15.65KB |
| 001 Stochastic Parsing.mp4 |
63.64MB |
| 001 Stopwords.en.srt |
37.44KB |
| 001 Stopwords.mp4 |
136.53MB |
| 001 What is Syntactic Processing_.en.srt |
17.25KB |
| 001 What is Syntactic Processing_.mp4 |
59.57MB |
| 002 Case Study.en.srt |
4.49KB |
| 002 Case Study.mp4 |
25.17MB |
| 002 Case Study Part2.en.srt |
26.83KB |
| 002 Case Study Part2.mp4 |
174.42MB |
| 002 Case Study With LSA.en.srt |
4.56KB |
| 002 Case Study With LSA.mp4 |
38.12MB |
| 002 code1.zip |
1.09MB |
| 002 Concepts.en.srt |
20.57KB |
| 002 Concepts.mp4 |
59.12MB |
| 002 Defining Classification Mathematically.en.srt |
10.78KB |
| 002 Defining Classification Mathematically.mp4 |
35.07MB |
| 002 Distributional Semantics.en.srt |
9.33KB |
| 002 Distributional Semantics.mp4 |
29.09MB |
| 002 Example Part1.en.srt |
6.92KB |
| 002 Example Part1.mp4 |
24.18MB |
| 002 History of Deep Learning.en.srt |
21.80KB |
| 002 History of Deep Learning.mp4 |
54.44MB |
| 002 Issue With Shallow Parsing.en.srt |
2.58KB |
| 002 Issue With Shallow Parsing.mp4 |
6.97MB |
| 002 Linear Algebra _ Matrix Part1.en.srt |
20.46KB |
| 002 Linear Algebra _ Matrix Part1.mp4 |
84.53MB |
| 002 Numpy Operations Part1.en.srt |
28.65KB |
| 002 Numpy Operations Part1.mp4 |
104.14MB |
| 002 Parsing.en.srt |
12.32KB |
| 002 Parsing.mp4 |
63.04MB |
| 002 Pre - Req For Gradient Descent Part2.en.srt |
10.74KB |
| 002 Pre - Req For Gradient Descent Part2.mp4 |
29.56MB |
| 002 Python Introduction.en.srt |
4.19KB |
| 002 Python Introduction.mp4 |
9.30MB |
| 002 Seaborn.en.srt |
30.84KB |
| 002 Seaborn.mp4 |
162.82MB |
| 002 Series.en.srt |
11.33KB |
| 002 Series.mp4 |
49.80MB |
| 002 Sigmoid Function.en.srt |
14.04KB |
| 002 Sigmoid Function.mp4 |
38.93MB |
| 002 Soundex Algorithm.en.srt |
17.14KB |
| 002 Soundex Algorithm.mp4 |
49.90MB |
| 002 Splitting Words.en.srt |
16.26KB |
| 002 Splitting Words.mp4 |
103.89MB |
| 002 Text Data Part1.en.srt |
6.94KB |
| 002 Text Data Part1.mp4 |
46.21MB |
| 002 Types of Machine Learning.en.srt |
10.73KB |
| 002 Types of Machine Learning.mp4 |
30.91MB |
| 002 Viterbi Algorithm.en.srt |
10.11KB |
| 002 Viterbi Algorithm.mp4 |
47.41MB |
| 003 Bag- Of- Words.en.srt |
24.90KB |
| 003 Bag- Of- Words.mp4 |
129.15MB |
| 003 Case study.en.srt |
15.35KB |
| 003 Case Study.en.srt |
8.49KB |
| 003 Case study.mp4 |
103.29MB |
| 003 Case Study.mp4 |
45.43MB |
| 003 Case Study Part3.en.srt |
24.76KB |
| 003 Case Study Part3.mp4 |
140.92MB |
| 003 CFG Grammer Part 1.en.srt |
14.40KB |
| 003 CFG Grammer Part 1.mp4 |
50.23MB |
| 003 Chomsky Normal Form.en.srt |
6.89KB |
| 003 Chomsky Normal Form.mp4 |
23.55MB |
| 003 Cost Functions.en.srt |
3.32KB |
| 003 Cost Functions.mp4 |
11.29MB |
| 003 DataFrame.en.srt |
10.91KB |
| 003 DataFrame.mp4 |
54.35MB |
| 003 Entity.en.srt |
13.66KB |
| 003 Entity.mp4 |
40.99MB |
| 003 Example Part2.en.srt |
12.53KB |
| 003 Example Part2.mp4 |
39.58MB |
| 003 Grammer for English Sentence Part1.en.srt |
16.42KB |
| 003 Grammer for English Sentence Part1.mp4 |
69.72MB |
| 003 Hidden Markov Model.en.srt |
17.89KB |
| 003 Hidden Markov Model.mp4 |
61.36MB |
| 003 Introduction to KNN.en.srt |
16.58KB |
| 003 Introduction to KNN.mp4 |
41.69MB |
| 003 Introduction to Linear Regression (LR).en.srt |
3.47KB |
| 003 Introduction to Linear Regression (LR).mp4 |
15.51MB |
| 003 Linear Algebra _ Matrix Part2.en.srt |
22.64KB |
| 003 Linear Algebra _ Matrix Part2.mp4 |
69.52MB |
| 003 Log Odds.en.srt |
12.79KB |
| 003 Log Odds.mp4 |
37.08MB |
| 003 Numpy Operations Part2.en.srt |
34.97KB |
| 003 Numpy Operations Part2.mp4 |
139.27MB |
| 003 Occurrence Matrix Part1.en.srt |
11.83KB |
| 003 Occurrence Matrix Part1.mp4 |
52.29MB |
| 003 Perceptron.en.srt |
9.13KB |
| 003 Perceptron.mp4 |
26.34MB |
| 003 Text Data Part2.en.srt |
16.12KB |
| 003 Text Data Part2.mp4 |
40.48MB |
| 003 Variables in Python.en.srt |
24.49KB |
| 003 Variables in Python.mp4 |
90.21MB |
| 003 Word2vec Part1.en.srt |
12.77KB |
| 003 Word2vec Part1.mp4 |
43.53MB |
| 004 Accuracy Of KNN.en.srt |
17.94KB |
| 004 Accuracy Of KNN.mp4 |
50.49MB |
| 004 Arity.en.srt |
8.21KB |
| 004 Arity.mp4 |
30.25MB |
| 004 Case study.en.srt |
24.91KB |
| 004 Case study.mp4 |
177.45MB |
| 004 Case Study Part4.en.srt |
8.37KB |
| 004 Case Study Part4.mp4 |
53.28MB |
| 004 CFG Grammer Part 2.en.srt |
11.89KB |
| 004 CFG Grammer Part 2.mp4 |
34.49MB |
| 004 Dealing with Spelling Mistakes.en.srt |
15.92KB |
| 004 Dealing with Spelling Mistakes.mp4 |
59.91MB |
| 004 Decoding Problem Part1.en.srt |
7.45KB |
| 004 Decoding Problem Part1.mp4 |
30.55MB |
| 004 Defining Cost Functions More Formally.en.srt |
10.21KB |
| 004 Defining Cost Functions More Formally.mp4 |
32.03MB |
| 004 Dependency Parsing Part1.en.srt |
11.80KB |
| 004 Dependency Parsing Part1.mp4 |
43.29MB |
| 004 Grammer for English Sentence Part2.en.srt |
14.50KB |
| 004 Grammer for English Sentence Part2.mp4 |
57.72MB |
| 004 Handling Similar Text Words Part1.en.srt |
7.91KB |
| 004 Handling Similar Text Words Part1.mp4 |
26.76MB |
| 004 How LR Works_.en.srt |
11.99KB |
| 004 How LR Works_.mp4 |
50.90MB |
| 004 Linear Algebra _ Going From 2D to nD Part1.en.srt |
11.74KB |
| 004 Linear Algebra _ Going From 2D to nD Part1.mp4 |
24.75MB |
| 004 Multi level perceptron.en.srt |
17.85KB |
| 004 Multi level perceptron.mp4 |
56.10MB |
| 004 Numeric Operations in Python.en.srt |
8.14KB |
| 004 Numeric Operations in Python.mp4 |
30.08MB |
| 004 Occurrence Matrix Part2.en.srt |
9.42KB |
| 004 Occurrence Matrix Part2.mp4 |
37.24MB |
| 004 Operations Part1.en.srt |
1.76KB |
| 004 Operations Part1.mp4 |
9.94MB |
| 004 Optimal Solution.en.srt |
20.08KB |
| 004 Optimal Solution.mp4 |
57.68MB |
| 004 Seaborn On Time Series Data.en.srt |
6.58KB |
| 004 Seaborn On Time Series Data.mp4 |
50.27MB |
| 004 Text Encoding.en.srt |
9.93KB |
| 004 Text Encoding.mp4 |
21.65MB |
| 004 Word2vec Part2.en.srt |
8.99KB |
| 004 Word2vec Part2.mp4 |
30.55MB |
| 005 Case Study _ Assign Grammer to English Sentence Part1.en.srt |
18.58KB |
| 005 Case Study _ Assign Grammer to English Sentence Part1.mp4 |
121.67MB |
| 005 Case Study _ LSA.en.srt |
2.71KB |
| 005 Case Study _ LSA.mp4 |
18.95MB |
| 005 Case Study.en.srt |
5.13KB |
| 005 Case Study.mp4 |
35.35MB |
| 005 Case Study 2.en.srt |
8.44KB |
| 005 Case Study 2.mp4 |
44.63MB |
| 005 Case Study Part5.en.srt |
56.49KB |
| 005 Case Study Part5.mp4 |
347.63MB |
| 005 Co- Occurrence Matrix.en.srt |
6.74KB |
| 005 Co- Occurrence Matrix.mp4 |
30.70MB |
| 005 Decoding Problem Part2.en.srt |
9.29KB |
| 005 Decoding Problem Part2.mp4 |
64.50MB |
| 005 Dependency Parsing Part2.en.srt |
16.09KB |
| 005 Dependency Parsing Part2.mp4 |
54.28MB |
| 005 Effectiveness of KNN.en.srt |
19.18KB |
| 005 Effectiveness of KNN.mp4 |
42.76MB |
| 005 Gradient Descent.en.srt |
14.63KB |
| 005 Gradient Descent.mp4 |
33.92MB |
| 005 Handling Similar Text Words Part2.en.srt |
18.59KB |
| 005 Handling Similar Text Words Part2.mp4 |
85.71MB |
| 005 Linear Algebra _ Going From 2D to nD Part2.en.srt |
9.51KB |
| 005 Linear Algebra _ Going From 2D to nD Part2.mp4 |
22.75MB |
| 005 Logical Operations.en.srt |
3.79KB |
| 005 Logical Operations.mp4 |
13.97MB |
| 005 Neural network playground.en.srt |
16.45KB |
| 005 Neural network playground.mp4 |
87.67MB |
| 005 Operations Part2.en.srt |
7.16KB |
| 005 Operations Part2.mp4 |
37.08MB |
| 005 Regular Expression _ Part1.en.srt |
12.52KB |
| 005 Regular Expression _ Part1.mp4 |
54.02MB |
| 005 Reification.en.srt |
4.48KB |
| 005 Reification.mp4 |
21.08MB |
| 005 Some Fun With Maths Behind LR.en.srt |
12.90KB |
| 005 Some Fun With Maths Behind LR.mp4 |
45.36MB |
| 005 Top-Down Parsing.en.srt |
25.35KB |
| 005 Top-Down Parsing.mp4 |
79.95MB |
| 006 Case Study _ Assign Grammer to English Sentence Part2.en.srt |
10.75KB |
| 006 Case Study _ Assign Grammer to English Sentence Part2.mp4 |
72.29MB |
| 006 Case Study _ Spell Corrector1.en.srt |
6.18KB |
| 006 Case Study _ Spell Corrector1.mp4 |
28.43MB |
| 006 Case Study _ Word2vec Part1.en.srt |
7.96KB |
| 006 Case Study _ Word2vec Part1.mp4 |
65.79MB |
| 006 Case Study1.en.srt |
10.01KB |
| 006 Case Study1.mp4 |
71.11MB |
| 006 Case Study on Advanced Syntactic Processing Part1.en.srt |
7.36KB |
| 006 Case Study on Advanced Syntactic Processing Part1.mp4 |
36.79MB |
| 006 Case Study Part6.en.srt |
11.21KB |
| 006 Case Study Part6.mp4 |
69.15MB |
| 006 Distance Metrics.en.srt |
17.33KB |
| 006 Distance Metrics.mp4 |
42.54MB |
| 006 If else Loop.en.srt |
12.62KB |
| 006 If else Loop.mp4 |
52.99MB |
| 006 Indexes.en.srt |
8.67KB |
| 006 Indexes.mp4 |
41.86MB |
| 006 Learning Hidden Markov Model.en.srt |
6.15KB |
| 006 Learning Hidden Markov Model.mp4 |
38.97MB |
| 006 Optimisation.en.srt |
6.15KB |
| 006 Optimisation.mp4 |
19.00MB |
| 006 Regular Expression _ Part2.en.srt |
21.97KB |
| 006 Regular Expression _ Part2.mp4 |
129.88MB |
| 006 Regularization.en.srt |
12.48KB |
| 006 Regularization.mp4 |
42.90MB |
| 006 Representations.en.srt |
29.81KB |
| 006 Representations.mp4 |
101.93MB |
| 006 R Square.en.srt |
14.68KB |
| 006 R Square.mp4 |
45.40MB |
| 006 Schema.en.srt |
6.73KB |
| 006 Schema.mp4 |
33.42MB |
| 006 Word Vectors Part1.en.srt |
6.93KB |
| 006 Word Vectors Part1.mp4 |
44.11MB |
| 007 Bottom up.en.srt |
23.35KB |
| 007 Bottom up.mp4 |
101.20MB |
| 007 Case Study _ Spell Corrector2.en.srt |
17.11KB |
| 007 Case Study _ Spell Corrector2.mp4 |
106.95MB |
| 007 Case Study _ Word2vec Part2.en.srt |
4.01KB |
| 007 Case Study _ Word2vec Part2.mp4 |
34.24MB |
| 007 Case Study On Syntactic Processing _ Part1.en.srt |
21.87KB |
| 007 Case Study On Syntactic Processing _ Part1.mp4 |
139.70MB |
| 007 Case Study Part7.en.srt |
14.54KB |
| 007 Case Study Part7.mp4 |
113.40MB |
| 007 Closed Form Vs Gradient Descent.en.srt |
6.73KB |
| 007 Closed Form Vs Gradient Descent.mp4 |
23.18MB |
| 007 Distance Metric.en.srt |
7.68KB |
| 007 Distance Metric.mp4 |
34.49MB |
| 007 Distance Metrics Part2.en.srt |
11.05KB |
| 007 Distance Metrics Part2.mp4 |
25.93MB |
| 007 for while Loop.en.srt |
16.22KB |
| 007 for while Loop.mp4 |
62.90MB |
| 007 loc and iloc.en.srt |
11.46KB |
| 007 loc and iloc.mp4 |
49.06MB |
| 007 LR Case Study Part1.en.srt |
20.73KB |
| 007 LR Case Study Part1.mp4 |
120.60MB |
| 007 Regular Expression _ Part3.en.srt |
20.72KB |
| 007 Regular Expression _ Part3.mp4 |
73.62MB |
| 007 Ridge and Lasso.en.srt |
9.11KB |
| 007 Ridge and Lasso.mp4 |
35.04MB |
| 007 Semantic Associations Part1.en.srt |
11.39KB |
| 007 Semantic Associations Part1.mp4 |
40.01MB |
| 007 Tf-IDF.en.srt |
11.67KB |
| 007 Tf-IDF.mp4 |
43.65MB |
| 007 Training Neural network part1.en.srt |
26.66KB |
| 007 Training Neural network part1.mp4 |
82.06MB |
| 008 Case Study _ Spell Corrector3.en.srt |
5.27KB |
| 008 Case Study _ Spell Corrector3.mp4 |
29.51MB |
| 008 Case Study _ Word2vec Part3.en.srt |
5.08KB |
| 008 Case Study _ Word2vec Part3.mp4 |
43.36MB |
| 008 Case Study.en.srt |
13.30KB |
| 008 Case Study.mp4 |
97.82MB |
| 008 Case Study on Advanced Syntactic Processing Part2.en.srt |
5.72KB |
| 008 Case Study on Advanced Syntactic Processing Part2.mp4 |
24.74MB |
| 008 Case Study On Syntactic Processing _ Part2.en.srt |
9.60KB |
| 008 Case Study On Syntactic Processing _ Part2.mp4 |
69.64MB |
| 008 Case Study Part2.en.srt |
4.87KB |
| 008 Case Study Part2.mp4 |
36.30MB |
| 008 Finding k.en.srt |
14.10KB |
| 008 Finding k.mp4 |
29.61MB |
| 008 Functions.en.srt |
17.79KB |
| 008 Functions.mp4 |
69.03MB |
| 008 Gradient Descent Case Study.en.srt |
8.18KB |
| 008 Gradient Descent Case Study.mp4 |
65.39MB |
| 008 LR Case Study Part2.en.srt |
6.61KB |
| 008 LR Case Study Part2.mp4 |
45.86MB |
| 008 Reading CSV.en.srt |
8.21KB |
| 008 Reading CSV.mp4 |
34.23MB |
| 008 Regular Expression _ Part4.en.srt |
16.52KB |
| 008 Regular Expression _ Part4.mp4 |
58.01MB |
| 008 Semantic Associations Part2.en.srt |
7.33KB |
| 008 Semantic Associations Part2.mp4 |
21.41MB |
| 008 Training Neural network part2.en.srt |
8.68KB |
| 008 Training Neural network part2.mp4 |
34.27MB |
| 008 Word Vectors Part2.en.srt |
7.50KB |
| 008 Word Vectors Part2.mp4 |
39.70MB |
| 009 Case Study _ Word2vec Part4.en.srt |
4.03KB |
| 009 Case Study _ Word2vec Part4.mp4 |
33.84MB |
| 009 Case Study.en.srt |
18.21KB |
| 009 Case Study.mp4 |
114.46MB |
| 009 Handling Combined Word Like New Delhi.en.srt |
12.16KB |
| 009 Handling Combined Word Like New Delhi.mp4 |
43.27MB |
| 009 KNN on Regression.en.srt |
3.60KB |
| 009 KNN on Regression.mp4 |
8.34MB |
| 009 LR Case Study Part3.en.srt |
6.81KB |
| 009 LR Case Study Part3.mp4 |
39.00MB |
| 009 Merging Part1.en.srt |
5.14KB |
| 009 Merging Part1.mp4 |
24.71MB |
| 009 Model Selection.en.srt |
8.03KB |
| 009 Model Selection.mp4 |
27.17MB |
| 009 Practical Issues with Above Approach.en.srt |
4.12KB |
| 009 Practical Issues with Above Approach.mp4 |
22.95MB |
| 009 Regular Expression _ Part5.en.srt |
9.83KB |
| 009 Regular Expression _ Part5.mp4 |
32.79MB |
| 009 RNN.en.srt |
6.00KB |
| 009 RNN.mp4 |
19.16MB |
| 009 String part1.en.srt |
19.40KB |
| 009 String part1.mp4 |
87.12MB |
| 009 Terms And Concept.en.srt |
11.83KB |
| 009 Terms And Concept.mp4 |
44.28MB |
| 009 Training Neural network part3.en.srt |
45.13KB |
| 009 Training Neural network part3.mp4 |
157.78MB |
| 009 Understanding Word Embeddings.en.srt |
14.42KB |
| 009 Understanding Word Embeddings.mp4 |
66.78MB |
| 010 Activation Function.en.srt |
18.17KB |
| 010 Activation Function.mp4 |
84.35MB |
| 010 Adjusted R Square.en.srt |
4.69KB |
| 010 Adjusted R Square.mp4 |
17.48MB |
| 010 Case Study _ Classification Part1.en.srt |
11.69KB |
| 010 Case Study _ Classification Part1.mp4 |
94.19MB |
| 010 Case Study.en.srt |
12.98KB |
| 010 Case Study.mp4 |
62.18MB |
| 010 groupby.en.srt |
8.13KB |
| 010 groupby.mp4 |
38.77MB |
| 010 Handling Combined Word Like New Delhi2.en.srt |
3.33KB |
| 010 Handling Combined Word Like New Delhi2.mp4 |
15.13MB |
| 010 PCFG.en.srt |
8.11KB |
| 010 PCFG.mp4 |
31.59MB |
| 010 Principle of Composition.en.srt |
3.58KB |
| 010 Principle of Composition.mp4 |
10.03MB |
| 010 Regular Expression _ Part6.en.srt |
12.06KB |
| 010 Regular Expression _ Part6.mp4 |
79.63MB |
| 010 Residual Square Error (RSE).en.srt |
1.13KB |
| 010 Residual Square Error (RSE).mp4 |
3.97MB |
| 010 String part2.en.srt |
4.20KB |
| 010 String part2.mp4 |
22.74MB |
| 011 Case Study _ Classification Part2.en.srt |
4.88KB |
| 011 Case Study _ Classification Part2.mp4 |
41.63MB |
| 011 Classification Case1.en.srt |
30.21KB |
| 011 Classification Case1.mp4 |
74.78MB |
| 011 List Part1.en.srt |
3.41KB |
| 011 List Part1.mp4 |
8.97MB |
| 011 Merging Part2.en.srt |
6.83KB |
| 011 Merging Part2.mp4 |
27.56MB |
| 011 Regular Expression _ Use Case.en.srt |
9.58KB |
| 011 Regular Expression _ Use Case.mp4 |
39.38MB |
| 011 WordNet.en.srt |
17.29KB |
| 011 WordNet.mp4 |
56.76MB |
| 012 Classification Case2.en.srt |
20.35KB |
| 012 Classification Case2.mp4 |
46.58MB |
| 012 List Part2.en.srt |
15.92KB |
| 012 List Part2.mp4 |
70.66MB |
| 012 Pivot Table.en.srt |
5.26KB |
| 012 Pivot Table.mp4 |
22.83MB |
| 012 Word Sense Disambiguation.en.srt |
9.61KB |
| 012 Word Sense Disambiguation.mp4 |
27.09MB |
| 013 Case Study.en.srt |
18.82KB |
| 013 Case Study.mp4 |
101.03MB |
| 013 Classification Case3.en.srt |
18.55KB |
| 013 Classification Case3.mp4 |
46.99MB |
| 013 code1.zip |
1.09MB |
| 013 code2.zip |
862.38KB |
| 013 code3.zip |
95.87MB |
| 013 List Part3.en.srt |
12.69KB |
| 013 List Part3.mp4 |
60.80MB |
| 013 stopword.csv |
469.54KB |
| 014 Classification Case4.en.srt |
16.33KB |
| 014 Classification Case4.mp4 |
36.75MB |
| 014 List Part4.en.srt |
12.62KB |
| 014 List Part4.mp4 |
52.98MB |
| 015 Tuples.en.srt |
12.36KB |
| 015 Tuples.mp4 |
54.51MB |
| 016 Sets.en.srt |
9.13KB |
| 016 Sets.mp4 |
47.55MB |
| 017 Dictionaries.en.srt |
9.72KB |
| 017 Dictionaries.mp4 |
50.93MB |
| 018 Comprehentions.en.srt |
9.71KB |
| 018 Comprehentions.mp4 |
60.20MB |
| 022 code2.zip |
862.38KB |
| 022 code3.zip |
95.87MB |
| 022 code4.zip |
61.61MB |
| 022 code5.zip |
911.25KB |
| 1 |
25B |
| 10 |
178B |
| 100 |
1.89MB |
| 101 |
359.77KB |
| 102 |
484.28KB |
| 102 Installing-Python.Teclov.pdf |
1.37MB |
| 102 Python-code-udemy.zip |
16.42KB |
| 103 |
653.06KB |
| 104 |
724.52KB |
| 105 |
751.29KB |
| 106 |
768.21KB |
| 107 |
1.10MB |
| 108 |
1.24MB |
| 109 |
1.46MB |
| 11 |
1.17KB |
| 110 |
142.33KB |
| 111 |
319.20KB |
| 112 |
380.52KB |
| 113 |
1.01MB |
| 114 |
1.52MB |
| 115 |
1.99MB |
| 116 |
159.76KB |
| 117 |
302.91KB |
| 118 |
429.54KB |
| 119 |
636.51KB |
| 12 |
491B |
| 120 |
1021.58KB |
| 120 Teclov-numpy.ipynb.zip |
5.16KB |
| 121 |
1.03MB |
| 122 |
1.07MB |
| 123 |
1.23MB |
| 123 Pandas.zip |
15.46KB |
| 124 |
1.88MB |
| 125 |
778.89KB |
| 126 |
938.36KB |
| 127 |
942.07KB |
| 128 |
1.21MB |
| 129 |
1.25MB |
| 13 |
244.05KB |
| 130 |
1.70MB |
| 131 |
664.66KB |
| 132 |
950.14KB |
| 133 |
981.69KB |
| 134 |
1.51MB |
| 135 |
1.51MB |
| 136 |
1.73MB |
| 137 |
1.76MB |
| 138 |
1.77MB |
| 139 |
78.57KB |
| 14 |
320.12KB |
| 140 |
164.96KB |
| 140 Datavisual.zip |
1.20MB |
| 141 |
595.77KB |
| 142 |
598.90KB |
| 143 |
1.21MB |
| 144 |
1.97MB |
| 144 code-LR-Teclov.zip |
76.83KB |
| 145 |
423.48KB |
| 146 |
1.09MB |
| 147 |
1.30MB |
| 148 |
1.39MB |
| 149 |
1.45MB |
| 15 |
462.11KB |
| 150 |
1.45MB |
| 151 |
1.75MB |
| 152 |
1.92MB |
| 153 |
394.60KB |
| 154 |
455.68KB |
| 154 Gradient+Descent+Updated.zip |
161.15KB |
| 155 |
506.11KB |
| 156 |
928.67KB |
| 157 |
1.57MB |
| 158 |
447.68KB |
| 159 |
784.25KB |
| 16 |
613.63KB |
| 160 |
854.71KB |
| 161 |
934.01KB |
| 162 |
1.24MB |
| 162 KNN.zip |
1.34MB |
| 163 |
1.66MB |
| 164 |
72.46KB |
| 165 |
851.23KB |
| 166 |
1.25MB |
| 167 |
1.26MB |
| 168 |
1.29MB |
| 169 |
1.82MB |
| 17 |
212.28KB |
| 170 |
295.25KB |
| 171 |
464.35KB |
| 172 |
842.82KB |
| 173 |
1.05MB |
| 174 |
1.17MB |
| 175 |
1.25MB |
| 176 |
1.26MB |
| 176 LogisticReg.zip |
983.68KB |
| 177 |
1.77MB |
| 178 |
113.21KB |
| 179 |
355.75KB |
| 18 |
996.96KB |
| 180 |
603.76KB |
| 180 AdvanceReg.zip |
1.11MB |
| 181 |
944.39KB |
| 182 |
1.83MB |
| 183 |
855.96KB |
| 184 |
1019.02KB |
| 185 |
1.05MB |
| 186 |
24.85KB |
| 187 |
530.13KB |
| 188 |
506.54KB |
| 189 |
892.88KB |
| 19 |
113.53KB |
| 190 |
27.91KB |
| 191 |
427.06KB |
| 192 |
725.88KB |
| 193 |
1.97MB |
| 194 |
61.97KB |
| 195 |
304.84KB |
| 196 |
720.03KB |
| 197 |
1.03MB |
| 198 |
1.66MB |
| 199 |
140.37KB |
| 2 |
349B |
| 20 |
730.07KB |
| 200 |
1.03MB |
| 21 |
66.77KB |
| 22 |
819.26KB |
| 23 |
996.56KB |
| 24 |
180.60KB |
| 25 |
132.86KB |
| 26 |
132.86KB |
| 27 |
1.81MB |
| 28 |
1.79MB |
| 29 |
336.13KB |
| 3 |
177B |
| 30 |
903.34KB |
| 31 |
296.82KB |
| 32 |
1.47MB |
| 33 |
1.65MB |
| 34 |
1.94MB |
| 35 |
53.63KB |
| 36 |
376.52KB |
| 37 |
1.22MB |
| 38 |
387.82KB |
| 39 |
1.71MB |
| 4 |
555B |
| 40 |
912.74KB |
| 41 |
1.34MB |
| 42 |
1.61MB |
| 43 |
289.69KB |
| 44 |
370.74KB |
| 45 |
491.39KB |
| 46 |
870.69KB |
| 47 |
988.46KB |
| 48 |
1.22MB |
| 49 |
215.64KB |
| 5 |
341B |
| 50 |
628.47KB |
| 51 |
1.50MB |
| 52 |
368.06KB |
| 53 |
984.58KB |
| 54 |
1.10MB |
| 55 |
1.82MB |
| 56 |
399.79KB |
| 57 |
658.24KB |
| 58 |
1.20MB |
| 59 |
1.80MB |
| 6 |
24B |
| 60 |
96.00KB |
| 61 |
439.96KB |
| 62 |
629.25KB |
| 63 |
904.36KB |
| 64 |
1.99MB |
| 65 |
289.07KB |
| 66 |
330.45KB |
| 67 |
1.24MB |
| 68 |
1.90MB |
| 69 |
1.41MB |
| 7 |
45B |
| 70 |
1.49MB |
| 71 |
1.56MB |
| 72 |
1.65MB |
| 73 |
1.72MB |
| 74 |
1.98MB |
| 75 |
741.83KB |
| 76 |
1.01MB |
| 77 |
1.02MB |
| 78 |
1.71MB |
| 79 |
1.07MB |
| 8 |
650B |
| 80 |
1.10MB |
| 81 |
1.51MB |
| 82 |
1.73MB |
| 83 |
1.77MB |
| 84 |
98.66KB |
| 85 |
209.91KB |
| 86 |
964.96KB |
| 87 |
175.38KB |
| 88 |
458.03KB |
| 89 |
599.43KB |
| 9 |
29B |
| 90 |
1.01MB |
| 91 |
1.42MB |
| 92 |
1.79MB |
| 93 |
147.05KB |
| 94 |
580.50KB |
| 95 |
611.80KB |
| 96 |
659.12KB |
| 97 |
1.37MB |
| 98 |
1.71MB |
| 99 |
1.72MB |
| TutsNode.com.txt |
63B |