Supervised Learning Regression Models

Files Included :

1 - Introduction About Tutor.mp4 (32.46 MB)
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44 - Understanding Handling Duplicates.mp4 (104.01 MB)
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45 - Understanding Handling Duplicates using Python.mp4 (325.83 MB)
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46 - Understanding Outlier Analysis Treatment.mp4 (118.48 MB)
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47 - Understanding Outlier Analysis Treatment using Python.mp4 (373.75 MB)
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48 - Overview Of Clustering Segmentation.mp4 (48.22 MB)
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49 - Distance Between Clusters.mp4 (54.67 MB)
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50 - Learning Clustering Using Python.mp4 (90.24 MB)
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51 - About Dimension Reduction & its Applications.mp4 (53.05 MB)
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52 - Elements of a Network.mp4 (25.03 MB)
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53 - About Google PageRank Algorithm.mp4 (17.61 MB)
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54 - Network Based Similarity Metrics.mp4 (67.47 MB)
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55 - Network related Properties.mp4 (19.33 MB)
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56 - Introduction to Naive Bayes.mp4 (70.24 MB)
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57 - Use Cases of Naive Bayes.mp4 (23.18 MB)
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58 - About Decision Tree and its Use Case.mp4 (48.06 MB)
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59 - What is Stacking.mp4 (49.05 MB)
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60 - Introduction about Boosting.mp4 (17.81 MB)
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61 - Introduction About Regression Analysis.mp4 (151.91 MB)
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2 - Agenda and stages of Analytics.mp4 (2.21 MB)
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3 - What is Diagnoistic Analytics.mp4 (3.16 MB)
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4 - What is Predictive Analytics.mp4 (3.72 MB)
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5 - What is Prescriptive Analytics.mp4 (21.1 MB)
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6 - What is CRISPMLQ.mp4 (8.08 MB)
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62 - About Simple Liner Regression and its Use Cases.mp4 (88.11 MB)
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63 - About Multiple Linear Regression.mp4 (182.67 MB)
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64 - About Simple Logistic and Multiple Logistic Regression.mp4 (90.3 MB)
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65 - About Multimonial Regression.mp4 (156.27 MB)
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66 - About Ordinal Regression.mp4 (139.58 MB)
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67 - About Negative BiNomial Regression.mp4 (127.01 MB)
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7 - Business Understanding Define Scope Of Application.mp4 (48.4 MB)
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8 - Business Understanding Define Success Criteria.mp4 (21.51 MB)
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9 - Business Understanding Use Cases.mp4 (25.74 MB)
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10 - Agenda Data Understanding.mp4 (1.81 MB)
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11 - Introduction to Data Understanding.mp4 (16.45 MB)
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12 - Data Types Continuous Vs Discrete.mp4 (68.03 MB)
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13 - Categorical Data Vs Count Data.mp4 (17.93 MB)
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14 - Pratical Data Understanding using Realtime Examples.mp4 (28.21 MB)
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15 - Scale of Measurement.mp4 (9.2 MB)
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16 - Quantitave Vs Qualitative.mp4 (17.03 MB)
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17 - Structure Vs Unstructured Data.mp4 (90.34 MB)
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18 - Big Data vs Non Big Data.mp4 (66.65 MB)
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19 - What is Data Collection.mp4 (28.73 MB)
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20 - Understanding Primary Data Sources.mp4 (201.27 MB)
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21 - Understanding Secondary Data Sources.mp4 (93.39 MB)
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22 - Understanding Data Collection Using Survey.mp4 (18.12 MB)
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23 - Understanding Data Collection Using DoE.mp4 (23.04 MB)
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24 - Understanding possible errors in Data Collection Stage.mp4 (49.92 MB)
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25 - Understanding Bias and Fairness.mp4 (18.68 MB)
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26 - Introduction to CRISPMLQ Data preparation & Agenda.mp4 (5.45 MB)
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27 - What is Probability.mp4 (13.61 MB)
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28 - What is Random Variable.mp4 (30.41 MB)
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29 - Understanding Probability and its Application Probability Discussion.mp4 (40.1 MB)
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30 - Understanding Normal Distribution.mp4 (35.81 MB)
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31 - What is Inferential Statistics.mp4 (68.89 MB)
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32 - Understanding Standard Normal Distribution & what is Z Scores.mp4 (66.58 MB)
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33 - Understanding Measures of central tendency First moment business decision.mp4 (112.64 MB)
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34 - Understanding Measures of Dispersion Second moment business decision.mp4 (86.03 MB)
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35 - Understanding Box PlotDiff Bw Percentile and Quantile and Quartile.mp4 (15.55 MB)
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36 - Understanding Graphical TechniquesQQPlot.mp4 (19.19 MB)
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37 - Understanding about Bivariate Scatter Plot.mp4 (89.27 MB)
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38 - Python Installation.mp4 (76.63 MB)
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39 - Anakonda Installation.mp4 (31.13 MB)
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40 - Understand about Anakonda Navigator Spyder & Python Libraries.mp4 (182.96 MB)
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41 - Understanding about Jupyter and Google Colab.mp4 (71.97 MB)
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42 - Understanding Data Cleansing Typecasting.mp4 (24.49 MB)
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43 - Understanding Data Cleansing Typecasting using python.mp4 (63.06 MB)
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