Udemy Data Science Methods and Algorithms

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Download Free Download : Udemy Data Science Methods and Algorithms
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:15.22 GB

Files Included :
1 Introduction.mp4 (278.74 MB)
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2 Setup of the Anaconda Cloud Notebook.mp4 (108.43 MB)
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3 Download and installation of the Anaconda Distribution (optional).mp4 (158.61 MB)
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4 The Conda Package Management System (optional).mp4 (268.39 MB)
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1 Overview of Python for Data Handling.mp4 (256.38 MB)
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10 Python Dictionary.mp4 (222.52 MB)
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11 Python List.mp4 (252.48 MB)
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12 Overview of Python Data Transformers and Functions.mp4 (22.89 MB)
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13 Python While-loop.mp4 (131.14 MB)
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14 Python For-loop.mp4 (118.38 MB)
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15 Python Logic Operators and conditional code branching.mp4 (220.59 MB)
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16 Python Functions I Some theory.mp4 (31.5 MB)
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17 Python Functions II create your own functions.mp4 (235.06 MB)
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18 Python Object Oriented Programming I Some theory.mp4 (159.4 MB)
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19 Python Object Oriented Programming II create your own custom objects.mp4 (338.8 MB)
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2 Python Integer.mp4 (85.87 MB)
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20 Python Object Oriented Programming III Files and Tables.mp4 (265.84 MB)
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21 Python Object Oriented Programming IV Recap and More.mp4 (405.91 MB)
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3 Python Float.mp4 (64.19 MB)
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4 Python Strings I.mp4 (89.24 MB)
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5 Python Strings II Intermediate String Methods.mp4 (141.7 MB)
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6 Python Strings III DateTime Objects and Strings.mp4 (154.51 MB)
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7 Overview of Python Native Data Storage Structures.mp4 (21.19 MB)
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8 Python Set.mp4 (99.62 MB)
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9 Python Tuple.mp4 (159.13 MB)
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1 Master Pandas for Data Handling Overview.mp4 (124.79 MB)
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10 Pandas Operations & Techniques DataFrame Inspection.mp4 (106.44 MB)
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11 Pandas Operations & Techniques Column Selections.mp4 (100.57 MB)
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12 Pandas Operations & Techniques Row Selections.mp4 (101.52 MB)
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13 Pandas Operations & Techniques Conditional Selections.mp4 (125.2 MB)
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14 Pandas Operations & Techniques Scalers and Standardization.mp4 (128.51 MB)
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15 Pandas Operations & Techniques Concatenate DataFrames.mp4 (171.6 MB)
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16 Pandas Operations & Techniques Joining DataFrames.mp4 (114.9 MB)
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17 Pandas Operations & Techniques Merging DataFrames.mp4 (211.75 MB)
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18 Pandas Operations & Techniques Transpose & Pivot Functions.mp4 (205.52 MB)
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19 Pandas Data Preparation I Overview & workflow.mp4 (51.28 MB)
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2 Pandas theory and terminology.mp4 (111.82 MB)
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20 Pandas Data Preparation II Edit DataFrame labels.mp4 (98.16 MB)
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21 Pandas Data Preparation III Duplicates.mp4 (145.54 MB)
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22 Pandas Data Preparation IV Missing Data & Imputation.mp4 (311.95 MB)
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23 Pandas Data Preparation V Data Binnings [Extra Video].mp4 (273.75 MB)
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24 Pandas Data Preparation VI Indicator Features [Extra Video].mp4 (208.2 MB)
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25 Pandas Data Description I Overview.mp4 (29.42 MB)
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26 Pandas Data Description II Sorting and Ranking.mp4 (126.12 MB)
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27 Pandas Data Description III Descriptive Statistics.mp4 (159.32 MB)
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28 Pandas Data Description IV Crosstabulations & Groupings.mp4 (170.94 MB)
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29 Pandas Data Visualization I Overview.mp4 (37.27 MB)
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3 Creating a Pandas DataFrame from scratch.mp4 (150.61 MB)
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30 Pandas Data Visualization II Histograms.mp4 (202.64 MB)
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31 Pandas Data Visualization III Boxplots.mp4 (132.63 MB)
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32 Pandas Data Visualization IV Scatterplots.mp4 (218.21 MB)
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33 Pandas Data Visualization V Pie Charts.mp4 (218.85 MB)
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34 Pandas Data Visualization VI Line plots.mp4 (264.18 MB)
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4 Pandas File Handling Overview.mp4 (22.22 MB)
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5 Pandas File Handling The csv file format.mp4 (113.85 MB)
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6 Pandas File Handling The xlsx file format.mp4 (139.83 MB)
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7 Pandas File Handling SQL-database files and Pandas DataFrame.mp4 (91.84 MB)
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8 Pandas Operations & Techniques Overview.mp4 (32.3 MB)
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9 Pandas Operations & Techniques Object Inspection.mp4 (100.54 MB)
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1 Regression, Prediction, and Supervised Learning Section Overview (I).mp4 (121.74 MB)
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10 Regression Regularization, Lasso and Ridge models (X).mp4 (520.37 MB)
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11 Decision Tree Regression models (XI).mp4 (476.2 MB)
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12 Random Forest Regression (XII).mp4 (410.49 MB)
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13 Voting Regression (XIII).mp4 (244.87 MB)
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2 The Traditional Simple Regression Model (II).mp4 (173.56 MB)
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3 The Traditional Simple Regression Model (III).mp4 (317.52 MB)
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4 Some practical and useful modelling concepts (IV).mp4 (114.68 MB)
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5 Some practical and useful modelling concepts (V).mp4 (120.26 MB)
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6 Linear Multiple Regression model (VI).mp4 (338.29 MB)
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7 Linear Multiple Regression model (VII).mp4 (232.97 MB)
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8 Multivariate Polynomial Multiple Regression models (VIII).mp4 (99.66 MB)
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9 Multivariate Polynomial Multiple Regression models (VIIII).mp4 (408.84 MB)
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1 Classification and Supervised Learning, overview.mp4 (118.32 MB)
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2 Logistic Regression Classifier.mp4 (379.79 MB)
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3 The Naive Bayes Classifier.mp4 (328.19 MB)
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4 The Decision Tree Classifier.mp4 (549.16 MB)
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5 The Random Forest Classifier.mp4 (331.55 MB)
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6 The Voting Classifier.mp4 (203.98 MB)
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1 Cluster Analysis, an overview.mp4 (202.42 MB)
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2 K-Means Cluster Analysis, and an introduction to auto-updated K-means algorithms.mp4 (253.81 MB)
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3 Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 (334.37 MB)
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4 Four Hierarchical Clustering algorithms.mp4 (210.65 MB)
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Code:
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Code:
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