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- [ FreeCourseWeb.com ] Deep Learning & AI - NLP-2 - Sentiment Analysis Hands-on.zip 322.7 MB
- [ FreeCourseWeb.com ] Udemy - Natural Language Processing(NLP) with Deep Learning in Keras.zip 4.2 GB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4 31.9 MB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4 29.3 MB
- Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 24.5 MB
- Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.mp4 22.9 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.mp4 20.8 MB
- Part 03-Module 01-Lesson 02_Text Processing/05. Cleaning-qawXp9DPV6I.mp4 20.5 MB
- Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.mp4 19.0 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 18.6 MB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.mp4 17.3 MB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.mp4 16.2 MB
- Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4 14.3 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.mp4 14.0 MB
- Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.mp4 13.9 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.mp4 13.7 MB
- Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.mp4 13.6 MB
- Part 02-Module 01-Lesson 01_Deep Neural Networks/01. Introduction-ZWRZvOXiC28.mp4 13.4 MB
- Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 13.0 MB
- Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.8 MB
- 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
- 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
- 2. Review/6. CNN Code (part 1).mp4 155.8 MB
- 8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
- 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
- 5. Attention/5. Attention Code 1.mp4 104.8 MB
- 8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
- 4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
- 4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
- 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
- 6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
- 8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
- 4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
- 7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
- 2. Review/4. What is a CNN.mp4 65.0 MB
- 5. Attention/2. Attention Theory.mp4 64.8 MB
- 2. Review/7. CNN Code (part 2).mp4 62.2 MB
- 2. Review/2. What is a word embedding.mp4 60.3 MB
- 2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB
- [ FreeCourseWeb.com ] Udemy - Integrating NLP Towards Excellence in Academics.zip 704.6 MB
- NLP - Neuro Linguistic Programming Application Formulas 2.0.zip 3.4 GB
- Download more courses.url 123 Bytes
- Downloaded from TutsGalaxy.com.txt 73 Bytes
- TutsGalaxy.com.txt 52 Bytes
- 08- Expert person to person analysis/Expert_Analysis_Interview_2.mov 521.2 MB
- 02- The Big View/MMDVD1.mov 495.4 MB
- 07- Person to person/MM DVD3.mov 399.8 MB
- 06-Deeper aplications/MM DVD2.mov 361.5 MB
- 04- The Framing tool/FramingTool.mov 343.7 MB
- 08- Expert person to person analysis/Expert_Analysis_Interview_1.mov 320.1 MB
- 05-Putting the Frame tool into action/FramingTool2.mov 237.2 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/NLP2YourLife.mov 117.5 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/TenYearsYounger.mov 104.1 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Fear_of_being_controlled.m4v 100.4 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Chronic Suffering.m4v 92.6 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/A_Common_Problem.m4v 87.1 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Having Trouble With GTD.m4v 81.2 MB
- NLP LANGUAGE GURU BONUSES/Questions and Answers/PANC Q&A.mp3 70.8 MB
- NLP LANGUAGE GURU BONUSES/Questions and Answers/PANC QA/PANC Q&A.mp3 70.8 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Resourceful States.mov 61.2 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Is Am Are.mp4 50.3 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Low Self-Esteem.m4v 50.0 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Avoiding_Downward_Drag.m4v 49.2 MB
- NLP LANGUAGE GURU BONUSES/Videos from the NLP Monthly/Modeling.mp4 42.0 MB
- 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 150.4 MB
- 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 134.6 MB
- 3. Natural Language Processing Basics/4. Spacy Basics.mp4 134.5 MB
- 2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 124.2 MB
- 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 122.8 MB
- 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4 120.3 MB
- 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4 115.4 MB
- 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4 113.4 MB
- 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4 113.3 MB
- 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 105.8 MB
- 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp4 104.4 MB
- 2. Python Text Basics/5. Regular Expressions Part One.mp4 99.8 MB
- 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 98.2 MB
- 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 95.6 MB
- 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 95.5 MB
- 8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 95.3 MB
- 1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 93.8 MB
- 1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 93.8 MB
- 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 93.7 MB
- 1. Introduction/4. Installation and Setup Lecture.mp4 93.4 MB
- [ FreeCourseWeb.com ] Udemy - Sentiment Analysis with NLP using Python and Flask.zip 462.0 MB
- The State of the Therapist - Lessons from Hypnosis (480p).mp4 633.8 MB
- Using Directives in Experiential Psychology The Dramatic Process of Change (480p).mp4 631.8 MB
- Ross Jeffries - Mindframe Persuasion 01 (480p).mp4 571.2 MB
- Dr Jeffrey Zeig - Exploring the Genius of Milton Erickson, Part I (480p).mp4 568.5 MB
- Dr Jeffrey Zeig presents Ericksonian Psychotherapy & Hypnotherapy (480p).mp4 561.0 MB
- Dr Jeffrey Zeig - Exploring the Genius of Milton Erickson, Part II The Utilization Approach (480p).mp4 526.7 MB
- Ross Jeffries - Mindframe Persuasion 02 (480p).mp4 502.2 MB
- Part 1 - Perspectives on the Masters - Erickson, Satir, Whitaker, Rogers & Frankl (480p).mp4 346.6 MB
- Part 2 - Perspectives on the Masters - Erickson, Satir, Whitaker, Rogers & Frankl (480p).mp4 295.9 MB
- Robert Dilts - Double Binds Pt 1 (360p).mp4 251.0 MB
- Milton Erickson Hypnosis Demo 1958 (480p).mp4 225.2 MB
- The Best Model of Hypnosis Explained - Theory of Mind (480p).mp4 164.6 MB
- NLP and Anchoring - Learning the Basics of Emotional Mastery (480p).mp4 155.5 MB
- Milton Erickson NLP Hypnosis Language Speech Patterns [pack]/ebooks/NLP Patterns of the Hypnotic Techniques of Milton H Erickson - Vol I.pdf 150.3 MB
- An Introduction to Milton Erickson (360p).mp4 149.6 MB
- The Humanistic Door to Milton Erickson and Hypnosis (480p).mp4 141.7 MB
- Robert Dilts - Double Binds Pt 2 (360p).mp4 131.0 MB
- Milton Erickson NLP Hypnosis Language Speech Patterns [pack]/videos/Two Hypnotic Language Patterns That Destroy Resistance (480p).mp4 97.7 MB
- Milton Erickson NLP Hypnosis Language Speech Patterns [pack]/videos/How to use storytelling and NLP to create sales campaigns, Part 2 (480p).mp4 91.1 MB
- Milton Erickson NLP Hypnosis Language Speech Patterns [pack]/videos/How to use storytelling and NLP to create sales campaigns, Part 1 (480p).mp4 85.3 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/6. Estimating Sentiment Based Portfolio Returns/3. Merging Returns & Sentiment Data - Applied.mp4 253.6 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/11. Estimating Firm Level Sentiment (Full Sample).mp4 222.2 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/7. Sentiment NLP based Investment Analysis/3. Testing and Validating the Hypothesis - Applied.mp4 215.7 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/6. Estimating Sentiment Based Portfolio Returns/7. Estimating Sentiment Portfolio Returns - Applied.mp4 196.5 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/4. Hypothesis Design & Exploratory Data Analysis/9. Exploring Text (MD&A) Data.mp4 194.5 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/14. Estimating Sentiment using a Document Term Matrix (DTM) - Applied.mp4 193.0 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/9. Estimating Sentiment for a Single Firm.mp4 148.3 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/4. Hypothesis Design & Exploratory Data Analysis/7. Exploring Stock Price & Returns Data.mp4 136.5 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/3. How to Estimate Sentiment.mp4 130.6 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/2. Quick Recap of Investment Analysis Fundamentals (Complimentary Access)/4. Recap Estimating the Risk of a Stock.mp4 124.7 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/7. Cleaning Text Data - Applied.mp4 115.6 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/7. Sentiment NLP based Investment Analysis/1. Testing and Validating the Hypothesis.mp4 110.3 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/6. Estimating Sentiment Based Portfolio Returns/1. Merging Returns & Sentiment Data.mp4 107.6 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/2. Quick Recap of Investment Analysis Fundamentals (Complimentary Access)/3. Recap Calculating Stock Returns on Python.mp4 104.5 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/5. Estimating Firm Level Sentiment/5. Cleaning Text Data.mp4 101.4 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/6. Estimating Sentiment Based Portfolio Returns/5. Estimating Sentiment Portfolio Returns.mp4 101.2 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/4. Hypothesis Design & Exploratory Data Analysis/4. Exploring Relevant Data.mp4 100.8 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/3. Introduction to Natural Language Processing & Sentiment Analysis in Finance/3. Natural Language Processing (NLP) Applications in Finance.mp4 95.1 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/4. Hypothesis Design & Exploratory Data Analysis/1. Creating a Testable Hypothesis.mp4 85.8 MB
- [TutsNode.com] - Investment Analysis with Natural Language Processing (NLP)/2. Quick Recap of Investment Analysis Fundamentals (Complimentary Access)/2. Recap Price, Risk, and Return.mp4 77.5 MB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/1.1 seq2seq-chatbot-master.zip 1.2 GB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2.1 seq2seq-chatbot-master.zip 1.2 GB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/5.1 seq2seq-chatbot-master.zip 1.2 GB
- 9. Other ChatBot Implementations/2.1 The Best ChatBot.zip 836.8 MB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/3. ChatBot - Step 43 Chatbot model discussion.mp4 104.1 MB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/4. ChatBot - Step 44 Tensorboard.mp4 62.8 MB
- 5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/6. ChatBot - Step 21.mp4 58.0 MB
- 5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/7. ChatBot - Step 22.mp4 57.1 MB
- 6. ---------- PART 3 - TRAINING THE SEQ2SEQ MODEL ----------/13. ChatBot - Step 35.mp4 56.9 MB
- 11. Annex 2 Recurrent Neural Networks/5. Practical Intuition.mp4 55.4 MB
- 9. Other ChatBot Implementations/5. THANK YOU bonus video.mp4 54.8 MB
- 5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/8. ChatBot - Step 23.mp4 52.9 MB
- 11. Annex 2 Recurrent Neural Networks/4. Long Short Term Memory.mp4 48.2 MB
- 4. ---------- PART 1 - DATA PREPROCESSING ----------/15. ChatBot - Step 17.mp4 45.7 MB
- 9. Other ChatBot Implementations/2. The Best ChatBot.mp4 41.3 MB
- 5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/5. ChatBot - Step 20.mp4 39.7 MB
- 11. Annex 2 Recurrent Neural Networks/2. What are Recurrent Neural Networks.mp4 39.2 MB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2. ChatBot - Step 42 Introduction to a new model & setup.mp4 37.2 MB
- 8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/5. ChatBot - Step 45 Run the new chatbot model.mp4 37.1 MB
- 5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/9. ChatBot - Step 24.mp4 36.9 MB
- NLP Persuasion Skills on Steroids with Rintu Basu.rar 3.1 GB
- Readme.txt 143 Bytes
- 2. Neurological Insights Into The Human Experience/15. A Conversation about Labels, Personality & Identity.mp4 874.2 MB
- 3. Self-Awareness, Growth, Clarity and Goals/3. Erikson's Eight Stages of Human Development.mp4 714.8 MB
- 10. NLP Strategies for Increasing Self-Effectiveness/6. Strategy Elicitation Demonstration.mp4 671.6 MB
- 11. Unpacking Core Human Values/6. The Spiderweb of Core Human Values Part 1.mp4 663.0 MB
- 11. Unpacking Core Human Values/7. The Spiderweb of Core Human Values Part 2.mp4 641.6 MB
- 6. The Wisdom of Virgina Satir, Fritz Perls & Milton H. Erickson/8. Milton Erickson's Language Patterns.mp4 638.1 MB
- 5. NLP State and the Basis of Human Responses/9. The Internal State Loop.mp4 614.9 MB
- 10. NLP Strategies for Increasing Self-Effectiveness/4. Strategy Elicitation Exercise.mp4 614.1 MB
- 5. NLP State and the Basis of Human Responses/12. The Timeline of Human Experience.mp4 604.3 MB
- 6. The Wisdom of Virgina Satir, Fritz Perls & Milton H. Erickson/2. The Main Character Attributes of a 'Leveller'.mp4 598.4 MB
- 6. The Wisdom of Virgina Satir, Fritz Perls & Milton H. Erickson/4. The Key Assumptions of Fritz Perls.mp4 592.7 MB
- 2. Neurological Insights Into The Human Experience/16. Fixed Versus Growth Mindset.mp4 591.0 MB
- 1. Introduction Section/13. The Presuppositions of NLP Part 2.mp4 589.5 MB
- 5. NLP State and the Basis of Human Responses/5. The EQ-i Model for Emotional and Social Functioning.mp4 579.2 MB
- 5. NLP State and the Basis of Human Responses/13. Strategies for Self-Regulation & Management.mp4 567.5 MB
- 2. Neurological Insights Into The Human Experience/11. A Conversation about Reframing Our Meanings.mp4 566.8 MB
- 8. NLP Anchoring, Learning & Conditioned Behaviour/6. The Four Stages of Anchor Development.mp4 562.0 MB
- 3. Self-Awareness, Growth, Clarity and Goals/15. Demonstration Well-formed Outcomes.mp4 558.3 MB
- 2. Neurological Insights Into The Human Experience/14. Hans Eysenck's Personality Model.mp4 552.6 MB
- 5. NLP State and the Basis of Human Responses/8. Kohlberg's Stages of Moral Development.mp4 537.4 MB
- 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
- 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
- 2. Review/6. CNN Code (part 1).mp4 155.8 MB
- 8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
- 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
- 5. Attention/5. Attention Code 1.mp4 104.8 MB
- 8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
- 4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
- 4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
- 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
- 6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
- 8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
- 4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
- 7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
- 2. Review/4. What is a CNN.mp4 65.0 MB
- 5. Attention/2. Attention Theory.mp4 64.8 MB
- 2. Review/7. CNN Code (part 2).mp4 62.2 MB
- 2. Review/2. What is a word embedding.mp4 60.3 MB
- 2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB
- 08 Appendix/021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
- 03 Build your own sentiment analyzer/010 Sentiment Analysis in Python.mp4 45.7 MB
- 06 Write your own article spinner/019 Writing an article spinner in Python.mp4 27.2 MB
- 05 Latent Semantic Analysis/016 Latent Semantic Analysis in Python.mp4 26.7 MB
- 08 Appendix/022 How to Code by Yourself part 1.mp4 25.7 MB
- 08 Appendix/023 How to Code by Yourself part 2.mp4 15.5 MB
- 05 Latent Semantic Analysis/015 PCA and SVD - The underlying math behind LSA.mp4 13.8 MB
- 02 Build your own spam detector/007 Build your own spam detector - the code.mp4 13.1 MB
- 01 Natural Language Processing - What is it used for/002 NLP Applications.mp4 11.4 MB
- 01 Natural Language Processing - What is it used for/005 How to Succeed in this Course.mp4 9.2 MB
- 04 NLTK Exploration/013 NLTK Exploration Named Entity Recognition.mp4 7.0 MB
- 03 Build your own sentiment analyzer/009 Description of Sentiment Analyzer.mp4 5.9 MB
- 01 Natural Language Processing - What is it used for/001 Introduction and Outline.mp4 5.1 MB
- 06 Write your own article spinner/017 Article Spinning Introduction.mp4 4.9 MB
- 07 How to learn more about NLP/020 What we didnt talk about.mp4 4.5 MB
- 04 NLTK Exploration/012 NLTK Exploration Stemming and Lemmatization.mp4 4.2 MB
- 05 Latent Semantic Analysis/014 Latent Semantic Analysis - What does it do.mp4 4.1 MB
- 01 Natural Language Processing - What is it used for/003 Why is NLP hard.mp4 4.1 MB
- 06 Write your own article spinner/018 Trigram Model.mp4 4.0 MB
- 01 Natural Language Processing - What is it used for/004 The Central Message of this Course.mp4 3.9 MB
- 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 134.6 MB
- 3. Natural Language Processing Basics/4. Spacy Basics.mp4 134.5 MB
- 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 131.6 MB
- 2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 124.2 MB
- 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 122.8 MB
- 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4 120.3 MB
- 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4 115.4 MB
- 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4 113.4 MB
- 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4 113.3 MB
- 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 105.8 MB
- 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp4 104.4 MB
- 2. Python Text Basics/5. Regular Expressions Part One.mp4 99.8 MB
- 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 98.2 MB
- 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 95.6 MB
- 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 95.5 MB
- 8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 95.3 MB
- 1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 93.8 MB
- 1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 93.8 MB
- 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 93.7 MB
- 6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp4 93.2 MB
- [ FreeCourseWeb.com ] First Steps into NLP- Starter Guide.zip 686.5 MB
- Richard Bandler - NLP - Magical Structures/Richard Bandler - NLP - Magical Structures.mp3 62.7 MB
- Power Reading And Power Writing/Power Reading And Power Writing.mp3 34.9 MB
- Accelerated Learning - Better Study Habits/Accelerated Learning - Better Study Habits.mp3 21.1 MB
- Audiobook Hypnosis - NLP - Read A Person Like A Book/Audiobook Hypnosis - Nlp - Read A Person Like A Book.mp3 19.8 MB
- Richard Bandler - NLP - How to Read Body Language/Richard Bandler - NLP - How to Read Body Language.mp3 19.4 MB
- Audio Books - Paul Scheele - Memory Supercharger/Audio Books - Paul Scheele - Memory Supercharger.mp3 17.1 MB
- Richard Bandler - Hypnosis - NLP - Eliminating Fears And Phobias/Richard Bandler - Hypnosis - NLP - Eliminating Fears And Phobias.mp3 13.3 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (07 Of 08).mp3 9.2 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (08 Of 08).mp3 8.8 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (04 Of 08).mp3 8.5 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (02 Of 08.mp3 7.9 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (01 Of 08).mp3 7.6 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (03 Of 08).mp3 7.3 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (05 Of 08).mp3 3.6 MB
- Dale Carnegie - How To Win Friends & Influence People/How To Win Friends & Influence People - (06 Of 08).mp3 3.5 MB
- Dale Carnegie - How To Win Friends & Influence People/Cover-Dale Carnegie-Friends.jpg 41.5 kB
- Torrent_downloaded_from_Demonoid_com.txt 47 Bytes
- 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
- 10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
- 3. Decrypting Ciphers/4. Genetic Algorithms.mp4 110.3 MB
- 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
- 5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
- 10. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
- 10. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
- 3. Decrypting Ciphers/3. Language Models.mp4 68.8 MB
- 10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
- 10. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
- 10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
- 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
- 5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
- 3. Decrypting Ciphers/11. Code pt 5.mp4 42.9 MB
- 10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.9 MB
- 4. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
- 3. Decrypting Ciphers/12. Code pt 6.mp4 41.3 MB
- 3. Decrypting Ciphers/8. Code pt 2.mp4 41.0 MB
- 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB