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Learning Python How to become an effective Python programmer.zip 2.2 GB
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Complete Python Course from Basics to Brilliance in HD.zip 1.8 GB
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[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/40 - Manifold Learning in Practice Part 2.mp4 226.5 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/20 - Case Study KMeans and Wholesale Data.mp4 212.0 MB
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[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/26 - Agglomerative Clustering Finding Natural Hierarchies Part 2.mp4 195.9 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/25 - Agglomerative Clustering Finding Natural Hierarchies Part 1.mp4 182.3 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/6 - Understanding and Implementing the Apriori Algorithm.mp4 172.1 MB
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[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/19 - Evaluate Clustering Results.mp4 165.7 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/44 - Deep Learning and Visualization Autoencoders and tSNE Part 2.mp4 160.7 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/31 - Topic Modeling Overview Part 2.mp4 159.9 MB
[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/18 - Clustering Algorithm in Practice.mp4 157.7 MB
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[TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/23 - Alternatives to KMeans Clustering Part 1.mp4 136.3 MB
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~Get Your Files Here !/1 - Fundamentals/5 - Applications.mp4 46.8 MB
~Get Your Files Here !/1 - Fundamentals/4 - Why Should we Learn.mp4 37.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/28 - Calculates the total loss.mp4 26.5 MB
~Get Your Files Here !/1 - Fundamentals/2 - What is Neural Style Transfer.mp4 21.4 MB
~Get Your Files Here !/1 - Fundamentals/1 - Introduction.mp4 21.0 MB
~Get Your Files Here !/1 - Fundamentals/3 - About this Project.mp4 15.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/9 - Contents in Directory.mp4 14.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/32 - Perform the style transfer optimization loop.mp4 13.4 MB
~Get Your Files Here !/2 - Model Building and Prediction/11 - Checking the availability and usage of GPUs.mp4 11.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/14 - Setting the directory path.mp4 11.7 MB
~Get Your Files Here !/2 - Model Building and Prediction/33 - Save and display the final generated image.mp4 10.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/18 - Convert the generated image back to its original format.mp4 10.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/31 - Preprocess the base image style reference image and combination image.mp4 9.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/17 - Preprocesses an image.mp4 9.5 MB
~Get Your Files Here !/2 - Model Building and Prediction/13 - Necessary library imports.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/8 - Setup the Working Directory.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/19 - Calculate the Gram matrix.mp4 9.0 MB
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~Get Your Files Here !/012. Chapter 2. Parallel processing.mp4 60.2 MB
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~Get Your Files Here !/058. Chapter 10. Machine learning basics with decision tree classifiers.mp4 42.7 MB
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~Get Your Files Here !/066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4 34.8 MB
~Get Your Files Here !/053. Chapter 9. PageRank with map and reduce in PySpark.mp4 34.2 MB
~Get Your Files Here !/024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4 31.3 MB
~Get Your Files Here !/011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4 30.3 MB
~Get Your Files Here !/048. Chapter 8. Tennis analytics with Hadoop.mp4 29.7 MB
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~Get Your Files Here !/036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4 27.3 MB
~Get Your Files Here !/057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4 27.2 MB
~Get Your Files Here !/029. Chapter 5. The three parts of reduce.mp4 26.3 MB
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~Get Your Files Here !/8. Create Python Programs with Data Structures and Functions/2. Build an Employee Payroll System with Tuples.mp4 114.0 MB
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11_-_Strings_Optional_Content_To_Learn_More_On_Strings/93_-_Slicing.mp4 53.3 MB
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03_-_Introduction_To_Standard_Types_In_Python/28_-_Introduction_To_Lists.mp4 23.3 MB
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23_-_MongoDB_and_Python/189_-_Quick_Summary.mp4 21.0 MB
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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
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5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
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9. Cross Validation/9. Text Data Example.mp4 94.2 MB
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Ex_Files_Dynamo_Revit_Python_Scripting.zip 30.7 MB
030 Creating views.mp4 30.5 MB
027 Accessing Revit parameters.mp4 23.3 MB
029 Adjusting elements.mp4 21.1 MB
018 Defining functions.mp4 20.9 MB
016 Nested loops.mp4 20.6 MB
010 Working with lists.mp4 20.5 MB
015 Looping with the while loop.mp4 20.4 MB
020 Built-in Python modules.mp4 20.1 MB
031 IronPython and Python.mp4 19.4 MB
025 Navigating the Revit API.mp4 18.6 MB
022 Accessing the Revit API directly.mp4 18.5 MB
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009 Strings.mp4 18.3 MB
008 Numbers.mp4 18.2 MB
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024 Dynamo conversions.mp4 16.8 MB
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~Get Your Files Here !/03 - Python Basic/002 Variables.mp4 117.2 MB
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~Get Your Files Here !/08 - Python Control Flow Statements/003 While Loops Statement.mp4 74.2 MB
~Get Your Files Here !/04 - Python Strings/005 String Built-in Functions.mp4 69.2 MB
~Get Your Files Here !/06 - Python Sequences/007 Join Lists.mp4 68.8 MB
~Get Your Files Here !/05 - Python Operators/002 Arithmetic Operators.mp4 63.6 MB
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~Get Your Files Here !/06 - Python Sequences/008 Tuples.mp4 57.6 MB
~Get Your Files Here !/06 - Python Sequences/009 Update tuples.mp4 57.1 MB
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~Get Your Files Here !/02 - Introduction to Python and Setting Up/005 Python Installation (Step By Step).mp4 49.5 MB
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11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
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13 - PART II Finance - Using Regressions for Financial Analysis/003 Are all regressions created equal Learning how to distinguish good regressions.mp4 204.7 MB
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文档个数:191
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67 - Regression Model Implementation to Predict Television Show Viewers.mp4 42.3 MB
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72 - K – Nearest Neighbor Classifier Implementation.mp4 40.2 MB
66 - Basic Regression Model Implementation to Predict House Prices.mp4 37.6 MB
172 - Deep Learning Hello World! Classifying the MNIST Data.mp4 36.4 MB
45 - Using the Reactive Extensions for Python (RxPY).mp4 35.3 MB
175 - Optimizing a Simple Model in Pure Theano.mp4 35.2 MB
181 - Reusing Pre-trained Models in New Applications.mp4 33.4 MB
05 - Extensive Standard Library.mp4 32.7 MB
185 - Recurrent Networks –Training a Sentiment Analysis Model for Text.mp4 31.2 MB
51 - Interfacing with C Code Using Cython.mp4 28.7 MB
73 - Preprocessing Data Using Different Techniques.mp4 27.7 MB
178 - Convolutional and Pooling Layers.mp4 26.6 MB
183 - Recurrent Layers.mp4 26.0 MB
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17.OpenCV/OpenCV.mp4 406.7 MB
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30.Web scraping/Web scraping.mp4 375.6 MB
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