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01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
06 TensorFlow Basics/032 TensorFlow Regression Example - Part Two.mp4 53.2 MB
07 Convolutional Neural Networks/051 CNN Project Exercise Solution - Part One.mp4 52.6 MB
10 AutoEncoders/078 Stacked Autoencoder.mp4 46.1 MB
05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp4 42.5 MB
09 Miscellaneous Topics/073 Tensorboard.mp4 41.9 MB
10 AutoEncoders/075 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11 Reinforcement Learning with OpenAI Gym/086 Simple Neural Network Game.mp4 37.6 MB
08 Recurrent Neural Networks/066 Word2Vec Code Along - Part One.mp4 37.3 MB
08 Recurrent Neural Networks/063 Time Series Exercise Solution.mp4 36.8 MB
07 Convolutional Neural Networks/045 MNIST Basic Approach Part Two.mp4 36.6 MB
08 Recurrent Neural Networks/059 RNN with TensorFlow - Part One.mp4 35.7 MB
08 Recurrent Neural Networks/067 Word2Vec Part Two.mp4 35.0 MB
09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11 Reinforcement Learning with OpenAI Gym/089 Policy Gradient Code Along Part Two.mp4 34.4 MB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB

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1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip 323.0 MB
13. Miscellaneous Lectures & Information/5. Data Imputation.mp4 59.2 MB
6. Introduction to Data Visualizations/6. Barplot.mp4 56.4 MB
4. Introduction to Pandas/6. Read in HTML Data.mp4 53.8 MB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4 42.3 MB
6. Introduction to Data Visualizations/8. Line Chart.mp4 38.9 MB
3. Introduction to Numpy/3. Numpy Operations.mp4 38.5 MB
8. Statistical Inference & Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4 35.0 MB
7. Statistical Data Analysis-Basic/5. Grouping & Summarizing Data by Categories.mp4 34.7 MB
8. Statistical Inference & Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4 31.6 MB
6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4 31.3 MB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course & Instructor.mp4 31.1 MB
6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 30.8 MB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4 30.8 MB
5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4 30.2 MB
8. Statistical Inference & Relationship Between Variables/12. Logistic Regression.mp4 30.2 MB
11. Supervised Learning/5. RF-Classification.mp4 29.9 MB
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4 29.7 MB
8. Statistical Inference & Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4 29.7 MB
5. Data Pre-ProcessingWrangling/5. Subset and Index Data.mp4 29.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python for Statistical Analysis.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - The complete Python Certification Course for Beginners.zip

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【压缩文件】 Curso Python e Django.rar

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - The Complete Python Course for Beginners from scratch.zip

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【压缩文件】 Hands On Natural Language Processing (NLP) using Python

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Hands On Natural Language Processing (NLP) using Python.zip 8.5 GB
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【压缩文件】 Full-Stack React, Python, and GraphQL(2019)

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Full-Stack React, Python, and GraphQL(2019).zip 2.5 GB
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【压缩文件】 [ FreeCourseWeb.com ] Python Basics by Cristi Zot.zip

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【压缩文件】 [ FreeCourseWeb.com ] Python for Automating Information Security.zip

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【压缩文件】 [FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning

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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB

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