Udemy - Master Cluster Analysis with Python and Pandas [2025] (9.2024)

文件大小

10.88 GB

上传时间

2025-10-13

Hash

0a9c4bc0dc50f0229f4bbaa140743e5b3fc92dfb

文件列表

1 - Introduction8 项
- 1 - Introduction.mp4137.33 MB
- 1 - Introduction.vtt0.02 MB
- 2 - Setup of the Anaconda Cloud Notebook.mp476.76 MB
- 2 - Setup of the Anaconda Cloud Notebook.vtt0.01 MB
- 3 - Download and installation of the Anaconda Distribution optional.mp4109.69 MB
- 3 - Download and installation of the Anaconda Distribution optional.vtt0.02 MB
- 4 - The Conda Package Management System optional.mp4297.02 MB
- 4 - The Conda Package Management System optional.vtt0.03 MB
2 - Master Python for Data Handling46 项
- 10 - Python Strings III DateTime Objects and Strings.mp4127.56 MB
- 10 - Python Strings III DateTime Objects and Strings.vtt0.02 MB
- 11 - Overview of Python Native Data Storage Structures.mp411.94 MB
- 11 - Overview of Python Native Data Storage Structures.vtt0.00 MB
- 12 - Python Set.mp4135.47 MB
- 12 - Python Set.vtt0.01 MB
- 13 - Python Tuple.mp4128.18 MB
- 13 - Python Tuple.vtt0.02 MB
- 14 - Python Dictionary.mp4334.24 MB
- 14 - Python Dictionary.vtt0.02 MB
- 15 - Python List.mp4185.47 MB
- 15 - Python List.vtt0.02 MB
- 16 - Overview of Python Data Transformers and Functions.mp423.59 MB
- 16 - Overview of Python Data Transformers and Functions.vtt0.00 MB
- 17 - Python Whileloop.mp4112.82 MB
- 17 - Python Whileloop.vtt0.02 MB
- 18 - Python Forloop.mp4103.50 MB
- 18 - Python Forloop.vtt0.01 MB
- 19 - Python Logic Operators and conditional code branching.mp4127.22 MB
- 19 - Python Logic Operators and conditional code branching.vtt0.02 MB
- 20 - Python Functions I Some theory.mp419.07 MB
- 20 - Python Functions I Some theory.vtt0.00 MB
- 21 - Python Functions II create your own functions.mp4299.27 MB
- 21 - Python Functions II create your own functions.vtt0.02 MB
- 22 - Python Object Oriented Programming I Some theory.mp4107.12 MB
- 22 - Python Object Oriented Programming I Some theory.vtt0.01 MB
- 23 - Python Object Oriented Programming II create your own custom objects.mp4420.06 MB
- 23 - Python Object Oriented Programming II create your own custom objects.vtt0.01 MB
- 23 - Python-OOP-II.py0.00 MB
- 24 - Python Object Oriented Programming III Files and Tables.mp4343.06 MB
- 24 - Python Object Oriented Programming III Files and Tables.vtt0.02 MB
- 24 - Python-OOP3.py0.01 MB
- 25 - Python Object Oriented Programming IV Recap and More.mp4521.93 MB
- 25 - Python Object Oriented Programming IV Recap and More.vtt0.04 MB
- 25 - Python-OOP4-Recap.py0.01 MB
- 25 - Text-file.txt0.00 MB
- 5 - Overview of Python for Data Handling.mp4269.93 MB
- 5 - Overview of Python for Data Handling.vtt0.03 MB
- 6 - Python Integer.mp465.48 MB
- 6 - Python Integer.vtt0.01 MB
- 7 - Python Float.mp439.02 MB
- 7 - Python Float.vtt0.01 MB
- 8 - Python Strings I.mp4127.30 MB
- 8 - Python Strings I.vtt0.01 MB
- 9 - Python Strings II Intermediate String Methods.mp4174.76 MB
- 9 - Python Strings II Intermediate String Methods.vtt0.01 MB
3 - Master Pandas for Data Handling76 项
- 26 - Master Pandas for Data Handling Overview.mp4182.72 MB
- 26 - Master Pandas for Data Handling Overview.vtt0.01 MB
- 27 - Pandas theory and terminology.mp481.07 MB
- 27 - Pandas theory and terminology.vtt0.01 MB
- 28 - Creating a Pandas DataFrame from scratch.mp4122.40 MB
- 28 - Creating a Pandas DataFrame from scratch.vtt0.02 MB
- 29 - Pandas File Handling Overview.mp414.37 MB
- 29 - Pandas File Handling Overview.vtt0.00 MB
- 30 - Pandas File Handling The csv file format.mp4137.27 MB
- 30 - Pandas File Handling The csv file format.vtt0.01 MB
- 31 - Pandas File Handling The xlsx file format.mp4197.70 MB
- 31 - Pandas File Handling The xlsx file format.vtt0.02 MB
- 32 - Pandas File Handling SQLdatabase files and Pandas DataFrame.mp467.87 MB
- 32 - Pandas File Handling SQLdatabase files and Pandas DataFrame.vtt0.01 MB
- 33 - Pandas Operations Techniques Overview.mp419.34 MB
- 33 - Pandas Operations Techniques Overview.vtt0.00 MB
- 34 - Pandas Operations Techniques Object Inspection.mp465.41 MB
- 34 - Pandas Operations Techniques Object Inspection.vtt0.01 MB
- 35 - Pandas Operations Techniques DataFrame Inspection.mp482.18 MB
- 35 - Pandas Operations Techniques DataFrame Inspection.vtt0.01 MB
- 36 - Pandas Operations Techniques Column Selections.mp4113.58 MB
- 36 - Pandas Operations Techniques Column Selections.vtt0.01 MB
- 37 - Pandas Operations Techniques Row Selections.mp480.06 MB
- 37 - Pandas Operations Techniques Row Selections.vtt0.01 MB
- 38 - Pandas Operations Techniques Conditional Selections.mp4107.13 MB
- 38 - Pandas Operations Techniques Conditional Selections.vtt0.01 MB
- 39 - Pandas Operations Techniques Scalers and Standardization.mp4154.43 MB
- 39 - Pandas Operations Techniques Scalers and Standardization.vtt0.01 MB
- 40 - DataFrames.py0.00 MB
- 40 - Pandas Operations Techniques Concatenate DataFrames.mp4217.42 MB
- 40 - Pandas Operations Techniques Concatenate DataFrames.vtt0.02 MB
- 41 - Pandas Operations Techniques Joining DataFrames.mp4137.09 MB
- 41 - Pandas Operations Techniques Joining DataFrames.vtt0.01 MB
- 41 - Pandas-Ops-Tech-Join-DF.py0.00 MB
- 42 - Pandas Operations Techniques Merging DataFrames.mp4313.32 MB
- 42 - Pandas Operations Techniques Merging DataFrames.vtt0.02 MB
- 42 - Pandas-Ops-Tech-Merge-dataset.py0.00 MB
- 43 - Pandas Operations Techniques Transpose Pivot Functions.mp4182.69 MB
- 43 - Pandas Operations Techniques Transpose Pivot Functions.vtt0.02 MB
- 43 - Pandas-T-pivot-Dataset.py0.00 MB
- 44 - Pandas Data Preparation I Overview workflow.mp463.20 MB
- 44 - Pandas Data Preparation I Overview workflow.vtt0.01 MB
- 45 - Pandas Data Preparation II Edit DataFrame labels.mp483.05 MB
- 45 - Pandas Data Preparation II Edit DataFrame labels.vtt0.01 MB
- 46 - Pandas Data Preparation III Duplicates.mp4105.32 MB
- 46 - Pandas Data Preparation III Duplicates.vtt0.01 MB
- 47 - Pandas Data Preparation IV Missing Data Imputation.mp4450.70 MB
- 47 - Pandas Data Preparation IV Missing Data Imputation.vtt0.03 MB
- 48 - geyser.csv0.00 MB
- 48 - geyser.xlsx0.01 MB
- 48 - Pandas Data Preparation V Data Binnings Extra Video.mp4200.70 MB
- 48 - Pandas Data Preparation V Data Binnings Extra Video.vtt0.03 MB
- 49 - Indicator-Features.py0.00 MB
- 49 - insurance-data.csv0.06 MB
- 49 - Pandas Data Preparation VI Indicator Features Extra Video.mp4161.46 MB
- 49 - Pandas Data Preparation VI Indicator Features Extra Video.vtt0.02 MB
- 50 - Pandas Data Description I Overview.mp442.94 MB
- 50 - Pandas Data Description I Overview.vtt0.00 MB
- 51 - Pandas Data Description II Sorting and Ranking.mp486.33 MB
- 51 - Pandas Data Description II Sorting and Ranking.vtt0.02 MB
- 52 - Pandas Data Description III Descriptive Statistics.mp4147.28 MB
- 52 - Pandas Data Description III Descriptive Statistics.vtt0.02 MB
- 53 - Pandas Data Description IV Crosstabulations Groupings.mp4135.24 MB
- 53 - Pandas Data Description IV Crosstabulations Groupings.vtt0.02 MB
- 54 - Pandas Data Visualization I Overview.mp422.20 MB
- 54 - Pandas Data Visualization I Overview.vtt0.00 MB
- 55 - Pandas Data Visualization II Histograms.mp4127.49 MB
- 55 - Pandas Data Visualization II Histograms.vtt0.03 MB
- 56 - Pandas Data Visualization III Boxplots.mp491.22 MB
- 56 - Pandas Data Visualization III Boxplots.vtt0.02 MB
- 57 - Pandas Data Visualization IV Scatterplots.mp4195.58 MB
- 57 - Pandas Data Visualization IV Scatterplots.vtt0.02 MB
- 58 - Pandas Data Visualization V Pie Charts.mp4198.69 MB
- 58 - Pandas Data Visualization V Pie Charts.vtt0.02 MB
- 59 - Pandas Data Visualization VI Line plots.mp4369.31 MB
- 59 - Pandas Data Visualization VI Line plots.vtt0.02 MB
4 - Master Cluster Analysis and Unsupervised Learning16 项
- 60 - Overview.mp4379.11 MB
- 60 - Overview.vtt0.02 MB
- 61 - iris.csv0.00 MB
- 61 - KMeans Cluster Analysis.mp4407.40 MB
- 61 - KMeans Cluster Analysis.vtt0.03 MB
- 61 - KMeans-Cluster-analysis.py0.01 MB
- 62 - AU-KMeans-Cluster-Analysis-Simulation.py0.02 MB
- 62 - Autoupdated KMeans Cluster Analysis introduction and simulation.mp4682.34 MB
- 62 - Autoupdated KMeans Cluster Analysis introduction and simulation.vtt0.05 MB
- 62 - penguins.csv0.02 MB
- 63 - DBscan.py0.01 MB
- 63 - DensityBased Spatial Clustering of Applications with Noise DBSCAN.mp4377.99 MB
- 63 - DensityBased Spatial Clustering of Applications with Noise DBSCAN.vtt0.03 MB
- 64 - agglo-clustering.py0.01 MB
- 64 - Four Hierarchical Clustering algorithms.mp4230.51 MB
- 64 - Four Hierarchical Clustering algorithms.vtt0.02 MB

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字幕

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