1.Data Analysis with Python, Introduction to Pandas,1.1 Working with Dataframe 2024.
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Link Site Free Course and ebook PDF DEEP LEARNING and ML/DM/DS/CNN/NN:
www.voobo.com/
Groupe Facebook :
groups/408455189718753
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1.Deep Learning with TensorFlow2,4.Sequence Models 1..20 Classifying Sentences with 1D CNN 2024.
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1.Deep Learning with TensorFlow2,4.Sequence Models 1.19 Classifying Sentences with RNN 2024
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1.Deep Learning with TensorFlow2,4.Sequence Models 1.17 The Problem of Text Classification 2024.
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1.Deep Learning with TensorFlow2,4.Sequence Models 1.17 The Problem of Text Classification 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning Image Representation 1.15 Dense Layers 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning Image Representation 1.14 Pooling 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning Image Representation 1.13 Convolution 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning Image Representation 1.12 Image Representation 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning1.10 Reviewing Optimizers 2024.
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1.Deep Learning with TensorFlow2 Why Deep Learning1.9 Revisiting Activation Functions 2024
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1.Deep Learning with TensorFlow2 Why Deep Learning 1.8 Going Deep with Layers and Neurons 2024.
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1.Deep Learning with TensorFlow2 1.7 Why Deep Learning Limit of Classification with Logistic Regression 2024.
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1.Deep Learning with TensorFlow2 7 Steps Getting Started 1.6 Building Your First Model 2024.
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1.DeepLearning with TensorFlow2 7 Steps Getting Started 1.5 Understanding Tensors and Dimensionality 2024.
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1.Deep Learning with TensorFlow 2.0 in 7 Steps1.Getting Started 1.4 Getting Started with TensorFlow2-2024.
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1.Deep Learning with TensorFlow 2.0 in 7 Steps1.Getting Started 1.3 Getting Started with TensorFlow 2024.
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1.Deep Learning with TensorFlow 2.0 in 7 Steps, 1.Getting Started, 01 The Course Overview 2024.
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4. Modern NLP Transformers and Large Language Models 4.2 transformers neural networks 2024.
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3. Using spaCy for Customer Feedback Analysis 3.1 Analyze customer feedback using spaCy 2024.
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2. Review NLP and Python Basics 2.3 Solution Build a processing pipeline 2024.
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2. Review NLP and Python Basics 2.2 Challenge Build a spaCy processing pipeline 2024.
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2. Review NLP and Python Basics 2.1 Introduction to spaCy 2024.
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1.Advanced NLP with Python for Machine Learning 1.2 Evolution of natural language processing 2024.
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11. Hypertuning of Machine Learning Model, 11.3 Lecture 03- 2024.
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11. Hypertuning of Machine Learning Model, 11.1 Lecture 02- 2024.
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10.,AI Real world Project using Python NLP, Machine Learning, 10.1 Lecture 01 2024.
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9.Data science ,Analytics AI Real world Project using Python NLP (Natural Processing )9.4 Lecture 4 2024.
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9.Data science ,Analytics AI Real world Project using Python NLP (Natural Processing )9. Lecture 01.
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9.Data science ,Analytics AI Real world Project using Python NLP (Natural Processing )9. Lecture 02.
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8.Data science ,Analytics AI Real world Project using Python Advance Data Analysis 8.3 Lecture 03.
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8.Data science ,Analytics AI Real world Project using Python Advance Data Analysis 8.2 Lecture 02.
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8.Data science ,Analytics AI Real world Project using Python Advance Data Analysis 8.1 Lecture 01.
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7. Python With DataAnalytic ,DataScienceNLPML 7.6 Lecture 3, 2024.
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7. Python With DataAnalytic ,DataScienceNLPML 7.5 Lecture 2, 2024.
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7. Python With DataAnalytic ,DataScienceNLPML 7.4 Lecture 2004.
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7. Python With DataAnalytic ,DataScienceNLPML 7.3 Finding common word count min common word max 2024.
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#python #supervisedlearning #unsupervised #ai #andrewgarfield