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Master Natural Language Processing using case studies (Size: 10.96 GB)
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  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .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 1.29 KB
  001 How To Complete this Course.mp4 7.86 MB
  02 Introduction to NLP and Regex
  001 Introduction to NLP.en.srt 8.58 KB
  001 Introduction to NLP.mp4 22.23 MB
  002 Text Data Part1.en.srt 6.94 KB
  002 Text Data Part1.mp4 46.21 MB
  002 code1.zip 1.09 MB
  003 Text Data Part2.en.srt 16.12 KB
  003 Text Data Part2.mp4 40.48 MB
  004 Text Encoding.en.srt 9.93 KB
  004 Text Encoding.mp4 21.65 MB
  005 Regular Expression _ Part1.en.srt 12.52 KB
  005 Regular Expression _ Part1.mp4 54.02 MB
  006 Regular Expression _ Part2.en.srt 21.97 KB
  006 Regular Expression _ Part2.mp4 129.88 MB
  007 Regular Expression _ Part3.en.srt 20.72 KB
  007 Regular Expression _ Part3.mp4 73.62 MB
  008 Regular Expression _ Part4.en.srt 16.52 KB
  008 Regular Expression _ Part4.mp4 58.01 MB
  009 Regular Expression _ Part5.en.srt 9.83 KB
  009 Regular Expression _ Part5.mp4 32.79 MB
  010 Regular Expression _ Part6.en.srt 12.06 KB
  010 Regular Expression _ Part6.mp4 79.63 MB
  011 Regular Expression _ Use Case.en.srt 9.58 KB
  011 Regular Expression _ Use Case.mp4 39.38 MB
  03 Introduction to Lexical Processing
  001 Stopwords.en.srt 37.44 KB
  001 Stopwords.mp4 136.53 MB
  002 Splitting Words.en.srt 16.26 KB
  002 Splitting Words.mp4 103.89 MB
  003 Bag- Of- Words.en.srt 24.9 KB
  003 Bag- Of- Words.mp4 129.15 MB
  004 Handling Similar Text Words Part1.en.srt 7.91 KB
  004 Handling Similar Text Words Part1.mp4 26.76 MB
  005 Handling Similar Text Words Part2.en.srt 18.59 KB
  005 Handling Similar Text Words Part2.mp4 85.71 MB
  006 Case Study1.en.srt 10.01 KB
  006 Case Study1.mp4 71.11 MB
  007 Tf-IDF.en.srt 11.67 KB
  007 Tf-IDF.mp4 43.65 MB
  008 Case Study Part2.en.srt 4.87 KB
  008 Case Study Part2.mp4 36.3 MB
  009 Case Study.en.srt 18.21 KB
  009 Case Study.mp4 114.46 MB
  013 code1.zip 1.09 MB
  013 code2.zip 862.38 KB
  013 code3.zip 95.87 MB
  013 stopword.csv 469.54 KB
  04 Advanced Lexical Processing
  001 Spelling Mistakes.en.srt 16.47 KB
  001 Spelling Mistakes.mp4 44.29 MB
  002 Soundex Algorithm.en.srt 17.14 KB
  002 Soundex Algorithm.mp4 49.9 MB
  003 Case Study.en.srt 8.49 KB
  003 Case Study.mp4 45.43 MB
  004 Dealing with Spelling Mistakes.en.srt 15.92 KB
  004 Dealing with Spelling Mistakes.mp4 59.91 MB
  005 Case Study 2.en.srt 8.44 KB
  005 Case Study 2.mp4 44.63 MB
  006 Case Study _ Spell Corrector1.en.srt 6.18 KB
  006 Case Study _ Spell Corrector1.mp4 28.43 MB
  007 Case Study _ Spell Corrector2.en.srt 17.11 KB
  007 Case Study _ Spell Corrector2.mp4 106.95 MB
  008 Case Study _ Spell Corrector3.en.srt 5.27 KB
  008 Case Study _ Spell Corrector3.mp4 29.51 MB
  009 Handling Combined Word Like New Delhi.en.srt 12.16 KB
  009 Handling Combined Word Like New Delhi.mp4 43.27 MB
  010 Handling Combined Word Like New Delhi2.en.srt 3.33 KB
  010 Handling Combined Word Like New Delhi2.mp4 15.13 MB
  022 code2.zip 862.38 KB
  022 code3.zip 95.87 MB
  022 code4.zip 61.61 MB
  022 code5.zip 911.25 KB
  05 Basic Syntactic Processing
  001 What is Syntactic Processing_.en.srt 17.25 KB
  001 What is Syntactic Processing_.mp4 59.57 MB
  002 Parsing.en.srt 12.32 KB
  002 Parsing.mp4 63.04 MB
  003 Grammer for English Sentence Part1.en.srt 16.42 KB
  003 Grammer for English Sentence Part1.mp4 69.72 MB
  004 Grammer for English Sentence Part2.en.srt 14.5 KB
  004 Grammer for English Sentence Part2.mp4 57.72 MB
  005 Case Study _ Assign Grammer to English Sentence Part1.en.srt 18.58 KB
  005 Case Study _ Assign Grammer to English Sentence Part1.mp4 121.67 MB
  006 Case Study _ Assign Grammer to English Sentence Part2.en.srt 10.75 KB
  006 Case Study _ Assign Grammer to English Sentence Part2.mp4 72.29 MB
  06 Intermediate Syntactic Processing
  001 Stochastic Parsing.en.srt 15.65 KB
  001 Stochastic Parsing.mp4 63.64 MB
  002 Viterbi Algorithm.en.srt 10.11 KB
  002 Viterbi Algorithm.mp4 47.41 MB
  003 Hidden Markov Model.en.srt 17.89 KB
  003 Hidden Markov Model.mp4 61.36 MB
  004 Decoding Problem Part1.en.srt 7.45 KB
  004 Decoding Problem Part1.mp4 30.55 MB
  005 Decoding Problem Part2.en.srt 9.29 KB
  005 Decoding Problem Part2.mp4 64.5 MB
  006 Learning Hidden Markov Model.en.srt 6.15 KB
  006 Learning Hidden Markov Model.mp4 38.97 MB
  007 Case Study On Syntactic Processing _ Part1.en.srt 21.87 KB
  007 Case Study On Syntactic Processing _ Part1.mp4 139.7 MB
  008 Case Study On Syntactic Processing _ Part2.en.srt 9.6 KB
  008 Case Study On Syntactic Processing _ Part2.mp4 69.64 MB
  009 RNN.en.srt 6 KB
  009 RNN.mp4 19.16 MB
  07 Advanced Syntactic Processing
  001 Introduction.en.srt 6.26 KB
  001 Introduction.mp4 20.17 MB
  002 Issue With Shallow Parsing.en.srt 2.58 KB
  002 Issue With Shallow Parsing.mp4 6.97 MB
  003 CFG Grammer Part 1.en.srt 14.4 KB
  003 CFG Grammer Part 1.mp4 50.23 MB
  004 CFG Grammer Part 2.en.srt 11.89 KB
  004 CFG Grammer Part 2.mp4 34.49 MB
  005 Top-Down Parsing.en.srt 25.35 KB
  005 Top-Down Parsing.mp4 79.95 MB
  006 Case Study on Advanced Syntactic Processing Part1.en.srt 7.36 KB
  006 Case Study on Advanced Syntactic Processing Part1.mp4 36.79 MB
  007 Bottom up.en.srt 23.35 KB
  007 Bottom up.mp4 101.2 MB
  008 Case Study on Advanced Syntactic Processing Part2.en.srt 5.72 KB
  008 Case Study on Advanced Syntactic Processing Part2.mp4 24.74 MB
  009 Practical Issues with Above Approach.en.srt 4.12 KB
  009 Practical Issues with Above Approach.mp4 22.95 MB
  010 PCFG.en.srt 8.11 KB
  010 PCFG.mp4 31.59 MB
  08 Probabilistic Approach
  001 Probabilistic CFG Grammer.en.srt 10.26 KB
  001 Probabilistic CFG Grammer.mp4 39.84 MB
  002 Case Study.en.srt 4.49 KB
  002 Case Study.mp4 25.17 MB
  003 Chomsky Normal Form.en.srt 6.89 KB
  003 Chomsky Normal Form.mp4 23.55 MB
  004 Dependency Parsing Part1.en.srt 11.8 KB
  004 Dependency Parsing Part1.mp4 43.29 MB
  005 Dependency Parsing Part2.en.srt 16.09 KB
  005 Dependency Parsing Part2.mp4 54.28 MB
  09 Syntactic Processing With Real World Project
  001 Introduction to Information Extraction Project Part1.en.srt 8.98 KB
  001 Introduction to Information Extraction Project Part1.mp4 30.61 MB
  002 Case Study Part2.en.srt 26.83 KB
  002 Case Study Part2.mp4 174.42 MB
  003 Case Study Part3.en.srt 24.76 KB
  003 Case Study Part3.mp4 140.92 MB
  004 Case Study Part4.en.srt 8.37 KB
  004 Case Study Part4.mp4 53.28 MB
  005 Case Study Part5.en.srt 56.49 KB
  005 Case Study Part5.mp4 347.63 MB
  006 Case Study Part6.en.srt 11.21 KB
  006 Case Study Part6.mp4 69.15 MB
  007 Case Study Part7.en.srt 14.54 KB
  007 Case Study Part7.mp4 113.4 MB
  10 Introduction to Semantic Processing
  001 Introduction.en.srt 4.88 KB
  001 Introduction.mp4 17.98 MB
  002 Concepts.en.srt 20.57 KB
  002 Concepts.mp4 59.12 MB
  003 Entity.en.srt 13.66 KB
  003 Entity.mp4 40.99 MB
  004 Arity.en.srt 8.21 KB
  004 Arity.mp4 30.25 MB
  005 Reification.en.srt 4.48 KB
  005 Reification.mp4 21.08 MB
  006 Schema.en.srt 6.73 KB
  006 Schema.mp4 33.42 MB
  007 Semantic Associations Part1.en.srt 11.39 KB
  007 Semantic Associations Part1.mp4 40.01 MB
  008 Semantic Associations Part2.en.srt 7.33 KB
  008 Semantic Associations Part2.mp4 21.41 MB
  009 Terms And Concept.en.srt 11.83 KB
  009 Terms And Concept.mp4 44.28 MB
  010 Principle of Composition.en.srt 3.58 KB
  010 Principle of Composition.mp4 10.03 MB
  011 WordNet.en.srt 17.29 KB
  011 WordNet.mp4 56.76 MB
  012 Word Sense Disambiguation.en.srt 9.61 KB
  012 Word Sense Disambiguation.mp4 27.09 MB
  013 Case Study.en.srt 18.82 KB
  013 Case Study.mp4 101.03 MB
  11 Advance Semantic Processing Part1
  001 Introduction To Distributional Semantics.en.srt 3.51 KB
  001 Introduction To Distributional Semantics.mp4 13.58 MB
  002 Distributional Semantics.en.srt 9.33 KB
  002 Distributional Semantics.mp4 29.09 MB
  003 Occurrence Matrix Part1.en.srt 11.83 KB
  003 Occurrence Matrix Part1.mp4 52.29 MB
  004 Occurrence Matrix Part2.en.srt 9.42 KB
  004 Occurrence Matrix Part2.mp4 37.24 MB
  005 Co- Occurrence Matrix.en.srt 6.74 KB
  005 Co- Occurrence Matrix.mp4 30.7 MB
  006 Word Vectors Part1.en.srt 6.93 KB
  006 Word Vectors Part1.mp4 44.11 MB
  007 Distance Metric.en.srt 7.68 KB
  007 Distance Metric.mp4 34.49 MB
  008 Word Vectors Part2.en.srt 7.5 KB
  008 Word Vectors Part2.mp4 39.7 MB
  009 Understanding Word Embeddings.en.srt 14.42 KB
  009 Understanding Word Embeddings.mp4 66.78 MB
  12 Advance Semantic Processing Part2
  001 LSA - Latent Semantic Analysis.en.srt 14.09 KB
  001 LSA - Latent Semantic Analysis.mp4 59.39 MB
  002 Case Study With LSA.en.srt 4.56 KB
  002 Case Study With LSA.mp4 38.12 MB
  003 Word2vec Part1.en.srt 12.77 KB
  003 Word2vec Part1.mp4 43.53 MB
  004 Word2vec Part2.en.srt 8.99 KB
  004 Word2vec Part2.mp4 30.55 MB
  005 Case Study _ LSA.en.srt 2.71 KB
  005 Case Study _ LSA.mp4 18.95 MB
  006 Case Study _ Word2vec Part1.en.srt 7.96 KB
  006 Case Study _ Word2vec Part1.mp4 65.79 MB
  007 Case Study _ Word2vec Part2.en.srt 4.01 KB
  007 Case Study _ Word2vec Part2.mp4 34.24 MB
  008 Case Study _ Word2vec Part3.en.srt 5.08 KB
  008 Case Study _ Word2vec Part3.mp4 43.36 MB
  009 Case Study _ Word2vec Part4.en.srt 4.03 KB
  009 Case Study _ Word2vec Part4.mp4 33.84 MB
  010 Case Study _ Classification Part1.en.srt 11.69 KB
  010 Case Study _ Classification Part1.mp4 94.19 MB
  011 Case Study _ Classification Part2.en.srt 4.88 KB
  011 Case Study _ Classification Part2.mp4 41.63 MB
  13 Pre-req _ Python Fundamentals
  001 Installation of Python and Anaconda.en.srt 13.43 KB
  001 Installation of Python and Anaconda.mp4 70.39 MB
  002 Python Introduction.en.srt 4.19 KB
  002 Python Introduction.mp4 9.3 MB
  003 Variables in Python.en.srt 24.49 KB
  003 Variables in Python.mp4 90.21 MB
  004 Numeric Operations in Python.en.srt 8.14 KB
  004 Numeric Operations in Python.mp4 30.08 MB
  005 Logical Operations.en.srt 3.79 KB
  005 Logical Operations.mp4 13.97 MB
  006 If else Loop.en.srt 12.62 KB
  006 If else Loop.mp4 52.99 MB
  007 for while Loop.en.srt 16.22 KB
  007 for while Loop.mp4 62.9 MB
  008 Functions.en.srt 17.79 KB
  008 Functions.mp4 69.03 MB
  009 String part1.en.srt 19.4 KB
  009 String part1.mp4 87.12 MB
  010 String part2.en.srt 4.2 KB
  010 String part2.mp4 22.74 MB
  011 List Part1.en.srt 3.41 KB
  011 List Part1.mp4 8.97 MB
  012 List Part2.en.srt 15.92 KB
  012 List Part2.mp4 70.66 MB
  013 List Part3.en.srt 12.69 KB
  013 List Part3.mp4 60.8 MB
  014 List Part4.en.srt 12.62 KB
  014 List Part4.mp4 52.98 MB
  015 Tuples.en.srt 12.36 KB
  015 Tuples.mp4 54.51 MB
  016 Sets.en.srt 9.13 KB
  016 Sets.mp4 47.55 MB
  017 Dictionaries.en.srt 9.72 KB
  017 Dictionaries.mp4 50.93 MB
  018 Comprehentions.en.srt 9.71 KB
  018 Comprehentions.mp4 60.2 MB
  102 Installing-Python.Teclov.pdf 1.37 MB
  102 Python-code-udemy.zip 16.42 KB
  14 Pre-req _ Numpy
  001 Introduction.en.srt 7.08 KB
  001 Introduction.mp4 21.89 MB
  002 Numpy Operations Part1.en.srt 28.65 KB
  002 Numpy Operations Part1.mp4 104.14 MB
  003 Numpy Operations Part2.en.srt 34.97 KB
  003 Numpy Operations Part2.mp4 139.27 MB
  120 Teclov-numpy.ipynb.zip 5.16 KB
  15 Pre-req _ Pandas
  001 Introduction.en.srt 9.19 KB
  001 Introduction.mp4 33.42 MB
  002 Series.en.srt 11.33 KB
  002 Series.mp4 49.8 MB
  003 DataFrame.en.srt 10.91 KB
  003 DataFrame.mp4 54.35 MB
  004 Operations Part1.en.srt 1.76 KB
  004 Operations Part1.mp4 9.94 MB
  005 Operations Part2.en.srt 7.16 KB
  005 Operations Part2.mp4 37.08 MB
  006 Indexes.en.srt 8.67 KB
  006 Indexes.mp4 41.86 MB
  007 loc and iloc.en.srt 11.46 KB
  007 loc and iloc.mp4 49.06 MB
  008 Reading CSV.en.srt 8.21 KB
  008 Reading CSV.mp4 34.23 MB
  009 Merging Part1.en.srt 5.14 KB
  009 Merging Part1.mp4 24.71 MB
  010 groupby.en.srt 8.13 KB
  010 groupby.mp4 38.77 MB
  011 Merging Part2.en.srt 6.83 KB
  011 Merging Part2.mp4 27.56 MB
  012 Pivot Table.en.srt 5.26 KB
  012 Pivot Table.mp4 22.83 MB
  123 Pandas.zip 15.46 KB
  16 Pre-req _ Some Fun With Maths
  001 Linear Algebra _ Vectors.en.srt 59.25 KB
  001 Linear Algebra _ Vectors.mp4 142.68 MB
  002 Linear Algebra _ Matrix Part1.en.srt 20.46 KB
  002 Linear Algebra _ Matrix Part1.mp4 84.53 MB
  003 Linear Algebra _ Matrix Part2.en.srt 22.64 KB
  003 Linear Algebra _ Matrix Part2.mp4 69.52 MB
  004 Linear Algebra _ Going From 2D to nD Part1.en.srt 11.74 KB
  004 Linear Algebra _ Going From 2D to nD Part1.mp4 24.75 MB
  005 Linear Algebra _ Going From 2D to nD Part2.en.srt 9.51 KB
  005 Linear Algebra _ Going From 2D to nD Part2.mp4 22.75 MB
  17 Pre-req _ Data Visualisation
  001 Matplotlib.en.srt 31.68 KB
  001 Matplotlib.mp4 153.79 MB
  002 Seaborn.en.srt 30.84 KB
  002 Seaborn.mp4 162.82 MB
  003 Case study.en.srt 15.35 KB
  003 Case study.mp4 103.29 MB
  004 Seaborn On Time Series Data.en.srt 6.58 KB
  004 Seaborn On Time Series Data.mp4 50.27 MB
  140 Datavisual.zip 1.2 MB
  18 Pre-req _ Simple Linear Regression
  001 Introduction to Machine Learning.en.srt 2.49 KB
  001 Introduction to Machine Learning.mp4 9.7 MB
  002 Types of Machine Learning.en.srt 10.73 KB
  002 Types of Machine Learning.mp4 30.91 MB
  003 Introduction to Linear Regression (LR).en.srt 3.47 KB
  003 Introduction to Linear Regression (LR).mp4 15.51 MB
  004 How LR Works_.en.srt 11.99 KB
  004 How LR Works_.mp4 50.9 MB
  005 Some Fun With Maths Behind LR.en.srt 12.9 KB
  005 Some Fun With Maths Behind LR.mp4 45.36 MB
  006 R Square.en.srt 14.68 KB
  006 R Square.mp4 45.4 MB
  007 LR Case Study Part1.en.srt 20.73 KB
  007 LR Case Study Part1.mp4 120.6 MB
  008 LR Case Study Part2.en.srt 6.61 KB
  008 LR Case Study Part2.mp4 45.86 MB
  009 LR Case Study Part3.en.srt 6.81 KB
  009 LR Case Study Part3.mp4 39 MB
  010 Residual Square Error (RSE).en.srt 1.13 KB
  010 Residual Square Error (RSE).mp4 3.97 MB
  144 code-LR-Teclov.zip 76.83 KB
  19 Pre-req _ Gradient Descent
  001 Pre - Req For Gradient Descent Part1.en.srt 20.6 KB
  001 Pre - Req For Gradient Descent Part1.mp4 54.59 MB
  002 Pre - Req For Gradient Descent Part2.en.srt 10.74 KB
  002 Pre - Req For Gradient Descent Part2.mp4 29.56 MB
  003 Cost Functions.en.srt 3.32 KB
  003 Cost Functions.mp4 11.29 MB
  004 Defining Cost Functions More Formally.en.srt 10.21 KB
  004 Defining Cost Functions More Formally.mp4 32.03 MB
  005 Gradient Descent.en.srt 14.63 KB
  005 Gradient Descent.mp4 33.92 MB
  006 Optimisation.en.srt 6.15 KB
  006 Optimisation.mp4 19 MB
  007 Closed Form Vs Gradient Descent.en.srt 6.73 KB
  007 Closed Form Vs Gradient Descent.mp4 23.18 MB
  008 Gradient Descent Case Study.en.srt 8.18 KB
  008 Gradient Descent Case Study.mp4 65.39 MB
  154 Gradient+Descent+Updated.zip 161.15 KB
  20 Pre-req _ Classification _ KNN
  001 Introduction to Classification.en.srt 18.71 KB
  001 Introduction to Classification.mp4 47.83 MB
  002 Defining Classification Mathematically.en.srt 10.78 KB
  002 Defining Classification Mathematically.mp4 35.07 MB
  003 Introduction to KNN.en.srt 16.58 KB
  003 Introduction to KNN.mp4 41.69 MB
  004 Accuracy Of KNN.en.srt 17.94 KB
  004 Accuracy Of KNN.mp4 50.49 MB
  005 Effectiveness of KNN.en.srt 19.18 KB
  005 Effectiveness of KNN.mp4 42.76 MB
  006 Distance Metrics.en.srt 17.33 KB
  006 Distance Metrics.mp4 42.54 MB
  007 Distance Metrics Part2.en.srt 11.05 KB
  007 Distance Metrics Part2.mp4 25.93 MB
  008 Finding k.en.srt 14.1 KB
  008 Finding k.mp4 29.61 MB
  009 KNN on Regression.en.srt 3.6 KB
  009 KNN on Regression.mp4 8.34 MB
  010 Case Study.en.srt 12.98 KB
  010 Case Study.mp4 62.18 MB
  011 Classification Case1.en.srt 30.21 KB
  011 Classification Case1.mp4 74.78 MB
  012 Classification Case2.en.srt 20.35 KB
  012 Classification Case2.mp4 46.58 MB
  013 Classification Case3.en.srt 18.55 KB
  013 Classification Case3.mp4 46.99 MB
  014 Classification Case4.en.srt 16.33 KB
  014 Classification Case4.mp4 36.75 MB
  162 KNN.zip 1.34 MB
  21 Pre-req _ Logistic Regression
  001 Introduction.en.srt 10.04 KB
  001 Introduction.mp4 23.71 MB
  002 Sigmoid Function.en.srt 14.04 KB
  002 Sigmoid Function.mp4 38.93 MB
  003 Log Odds.en.srt 12.79 KB
  003 Log Odds.mp4 37.08 MB
  004 Case study.en.srt 24.91 KB
  004 Case study.mp4 177.45 MB
  176 LogisticReg.zip 983.68 KB
  22 Pre-req _ Advanced Machine Learning Algorithms
  001 Introduction.en.srt 8.2 KB
  001 Introduction.mp4 27.23 MB
  002 Example Part1.en.srt 6.92 KB
  002 Example Part1.mp4 24.18 MB
  003 Example Part2.en.srt 12.53 KB
  003 Example Part2.mp4 39.58 MB
  004 Optimal Solution.en.srt 20.08 KB
  004 Optimal Solution.mp4 57.68 MB
  005 Case Study.en.srt 5.13 KB
  005 Case Study.mp4 35.35 MB
  006 Regularization.en.srt 12.48 KB
  006 Regularization.mp4 42.9 MB
  007 Ridge and Lasso.en.srt 9.11 KB
  007 Ridge and Lasso.mp4 35.04 MB
  008 Case Study.en.srt 13.3 KB
  008 Case Study.mp4 97.82 MB
  009 Model Selection.en.srt 8.03 KB
  009 Model Selection.mp4 27.17 MB
  010 Adjusted R Square.en.srt 4.69 KB
  010 Adjusted R Square.mp4 17.48 MB
  180 AdvanceReg.zip 1.11 MB
  23 Pre-req _ Deep Learning introduction
  001 Introduction.en.srt 12.98 KB
  001 Introduction.mp4 43.25 MB
  002 History of Deep Learning.en.srt 21.8 KB
  002 History of Deep Learning.mp4 54.44 MB
  003 Perceptron.en.srt 9.13 KB
  003 Perceptron.mp4 26.34 MB
  004 Multi level perceptron.en.srt 17.85 KB
  004 Multi level perceptron.mp4 56.1 MB
  005 Neural network playground.en.srt 16.45 KB
  005 Neural network playground.mp4 87.67 MB
  006 Representations.en.srt 29.81 KB
  006 Representations.mp4 101.93 MB
  007 Training Neural network part1.en.srt 26.66 KB
  007 Training Neural network part1.mp4 82.06 MB
  008 Training Neural network part2.en.srt 8.68 KB
  008 Training Neural network part2.mp4 34.27 MB
  009 Training Neural network part3.en.srt 45.13 KB
  009 Training Neural network part3.mp4 157.78 MB
  010 Activation Function.en.srt 18.17 KB
  010 Activation Function.mp4 84.35 MB

Description


Description

Wants to become a expert NLP engineer and data scientist? Then this is a right course for you.

This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.

We will walk you step-by-step into the World of NLP. With every tutorial you will develop new skills and improve your understanding towards the challenging yet lucrative sub-field of Data Science from beginner to advance level.

We have solved few real world projects as well during this course and have provided complete solutions so that students can easily implement what have been taught. Case studies are explained in detail with step by step instructions. Prior Knowledge of Machine Learning and deep learning is beneficial , if not we have covered all required pre-requisites in the course itself.

We have covered following topics in detail in this course:

1) Introduction to NLP and Regex

2) Introduction to Lexical Processing

3) Advanced Lexical Processing

4) Basic Syntactic Processing

5) Intermediate Syntactic Processing

6) Advanced Syntactic Processing

7) Probabilistic Approach

8) Syntactic Processing With Real World Project

9) Introduction to Semantic Processing

10) Advance Semantic Processing Part1

11) Advance Semantic Processing Part2

12) Prereqs : Python, Machine Learning , Deep Learning
Who this course is for:

This course is meant for anyone who wants to become a Data Scientist
This course is meant for anyone who wants to become NLP engineer

Requirements

Any Beginner Can Start this Course
2+2 knowledge is more than sufficient as we have covered almost everything from scratch.
Prior Knowledge of Machine Learning is beneficial , if not we have covered all required pre-requisites in the course itself.

Last Updated 7/2021

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