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download скачать Free download скачать : Udemy Machine Learning Real World Case Studies Hands on Python
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:7.04 GB

Files Included :

1  Intro !!.mp4 (75.99 MB)
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2  Utilize this oppurtunity  , QnA section !!.mp4 (5.36 MB)
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3  How to follow this course-must watch.mp4 (16.27 MB)
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4  How to install Anaconda & Jupyter Notebook.mp4 (23.83 MB)
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5  Quick Summary of Jupyter Notebook.mp4 (43.39 MB)
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1  Introduction to Problem Statement.mp4 (45.7 MB)
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10  Analysing distrbution of Ratings.mp4 (65.96 MB)
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11  Perform Data Preparation for Analysing App Category.mp4 (85.73 MB)
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12  Analysing Android version of data.mp4 (114.18 MB)
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13  Lets Perform Data Cleaning.mp4 (104.83 MB)
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14  Lets Clean & ready our Rating & Installs feature.mp4 (107.53 MB)
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15  Perform Data-Preparation on Size Feature.mp4 (157.36 MB)
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16  Perform Feature Selection algorithms to select important features.mp4 (75 MB)
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17  How Feature selection works.mp4 (126.32 MB)
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18  What are outliers & how to find it.mp4 (98.13 MB)
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19  Outliers Detection using IQR.mp4 (121.96 MB)
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20  Outlier Detection in Install feature.mp4 (83.47 MB)
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21  How to Impute Outliers.mp4 (73.42 MB)
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22  what is Data Transformation.mp4 (109.45 MB)
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23  What are Missing Values & how to fill Missing values.mp4 (101.97 MB)
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24  What is Data Discretization & how to apply it in real-world.mp4 (99.98 MB)
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25  What is Mean Encoding & how to apply it in real world.mp4 (120.07 MB)
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26  What is Target Guided Mean Encoding.mp4 (67.77 MB)
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27  What is Label Encoding & how to apply it in real-world.mp4 (130.89 MB)
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28  Applying Label Encoding & preparing your data for Data Modelling.mp4 (94.27 MB)
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29  Intuition behind Logistic Regression-part 1.mp4 (57.97 MB)
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3  Understand the big Idea- how to collect data !.mp4 (97.08 MB)
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30  Intuition behind Logistic Regression-part 2.mp4 (44.15 MB)
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31  Building Logistic Regression Model.mp4 (114.71 MB)
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32  Intuition Behind Decision Trees - Part 1.mp4 (40.56 MB)
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33  Intuition Behind Decision Trees - Part 2.mp4 (63.15 MB)
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34  Intuition Behind Decision Trees - Part 3.mp4 (60.68 MB)
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35  Intuition Behind Decision Trees - Part 4.mp4 (73.5 MB)
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36  Intuition Behind Decision Trees - Part 5.mp4 (62.14 MB)
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37  Intuition Behind Decision Trees - Part 6.mp4 (39.6 MB)
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38  Intuition Behind Random Forest - Part 1.mp4 (77.76 MB)
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39  Intuition Behind Random Forest - Part 2.mp4 (50.78 MB)
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4  Perform descriptive analysis on Data !.mp4 (133.48 MB)
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40  Hypertune your Logistic Regression Model.mp4 (89.89 MB)
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41  Hypertune your Random Forest Model.mp4 (119.01 MB)
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5  Perform Exploratory Data Analysis to understand Patterns.mp4 (126.62 MB)
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6  How  to Automate your code !.mp4 (102.2 MB)
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7  Automate your data Visualisation code.mp4 (143.33 MB)
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8  Understand Hidden patterns from data.mp4 (82.31 MB)
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9  Analyse whether Google is Bias or not !.mp4 (48.57 MB)
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10  Obtaining label distribution of data.mp4 (49.02 MB)
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11  how to visualize outliers.mp4 (123.89 MB)
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12  Imputing the outliers.mp4 (126.04 MB)
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13  Perform In-depth analysis on data.mp4 (120.04 MB)
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14  Extract important features using Co-relation.mp4 (147.17 MB)
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15  Most suitable Feature encoding technique In real-world.mp4 (115.22 MB)
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16  Lets pre-process our data for Feature Encoding.mp4 (130.08 MB)
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17  Automate your Data Preparation stuffs !.mp4 (121.51 MB)
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18  What is Frequency Encoding & how to apply it in Real-World.mp4 (127.89 MB)
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19  Lets Build a Decision Tree Model.mp4 (113.82 MB)
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2  How to load  data & fill missing values in data !.mp4 (100.36 MB)
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20  Playing with Multiple Algorithms.mp4 (103.07 MB)
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21  Lets Hypertune our model.mp4 (165.71 MB)
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3  Fix Missing values of Data !.mp4 (101.37 MB)
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4  How to fill Missing values using Random Value Imputation.mp4 (129.87 MB)
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5  Perform Wordcloud Analysis.mp4 (178.09 MB)
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6  Lets Clean Description Feature.mp4 (184.8 MB)
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7  Lets Prepare Description Feature using nltk !.mp4 (190.29 MB)
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8  Perform Unigram , bigram & trigram analysis.mp4 (139 MB)
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9  Perform GeoSpatial Analysis.mp4 (63.48 MB)
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2  Lets Prepare our Data.mp4 (98.49 MB)
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3  Finding co-relation values of a matrix.mp4 (111.48 MB)
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4  Define own function to understand our Data !.mp4 (110.05 MB)
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5  Perform In-Depth Analysis !.mp4 (156.31 MB)
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6  Finding relationship in data !.mp4 (119.15 MB)
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7  Lets explore our data !.mp4 (170.13 MB)
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8  Data  Preparation for Modelling !.mp4 (51.38 MB)
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9  Build a Machine learning Model.mp4 (88.09 MB)
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Код:
 https://rapidgator.net/file/49f37117b41b2bde7bb2b9d3feab5e56/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part1.rar
https://rapidgator.net/file/34119fcb9096f24ef9afba2bad7acd1c/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part2.rar
https://rapidgator.net/file/7b2ebedf2c3ebee59df334c36facc0d2/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part3.rar
https://rapidgator.net/file/63dd69df565c22b3a4d34fc135e9ebec/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part4.rar
Код:
 https://filestore.me/a17i5qhz4lyq/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part1.rar
https://filestore.me/opkf6urm2mth/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part2.rar
https://filestore.me/19dikt6x79bm/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part3.rar
https://filestore.me/4wxrg84htal2/Udemy_Machine_Learning_Real_World_Case_Studies_Hands_on_Python.part4.rar