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+--- Thread: Udemy Machine Learning Real World Case Studies Hands on Python (/Thread-Udemy-Machine-Learning-Real-World-Case-Studies-Hands-on-Python)
Udemy Machine Learning Real World Case Studies Hands on Python - AD-TEAM - 07-06-2024
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Download Free Download : 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
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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