Udemy Linear Regression and Logistic Regression using R Studio

Files Included :

1 Introduction.mp4 (24.45 MB)
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1 Types of Data.mp4 (21.77 MB)
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2 This is a milestone!.mp4 (20.67 MB)
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3 Types of Statistics.mp4 (10.93 MB)
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4 Describing the data graphically.mp4 (65.34 MB)
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5 Measures of Centers.mp4 (38.59 MB)
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6 Measures of Dispersion.mp4 (22.86 MB)
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1 Installing R and R studio.mp4 (35.69 MB)
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2 Basics of R and R studio.mp4 (38.84 MB)
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3 Packages in R.mp4 (82.97 MB)
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4 Inputting data part 1 Inbuilt datasets of R.mp4 (40.74 MB)
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5 Inputting data part 2 Manual data entry.mp4 (25.51 MB)
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6 Inputting data part 3 Importing from CSV or Text files.mp4 (60.1 MB)
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7 Creating Barplots in R.mp4 (96.75 MB)
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8 Creating Histograms in R.mp4 (42.01 MB)
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1 Gathering Business Knowledge.mp4 (14.53 MB)
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10 Missing Value imputation in R.mp4 (26.01 MB)
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11 Seasonality in Data.mp4 (17.03 MB)
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12 Bi-variate Analysis and Variable Transformation.mp4 (100.46 MB)
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13 Variable transformation in R.mp4 (55.42 MB)
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14 Non Usable Variables.mp4 (20.25 MB)
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15 Dummy variable creation Handling qualitative data.mp4 (36.81 MB)
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16 Dummy variable creation in R.mp4 (44.01 MB)
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17 Correlation Matrix and cause-effect relationship.mp4 (71.58 MB)
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18 Correlation Matrix in R.mp4 (83.15 MB)
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2 Data Exploration.mp4 (20.11 MB)
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3 The Data and the Data Dictionary.mp4 (69.34 MB)
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4 Importing the dataset into R.mp4 (13.1 MB)
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5 Univariate Analysis and EDD.mp4 (24.22 MB)
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6 EDD in R.mp4 (96.98 MB)
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7 Outlier Treatment.mp4 (27.25 MB)
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8 Outlier Treatment in R.mp4 (30.74 MB)
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9 Missing Value imputation.mp4 (23.14 MB)
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1 The problem statement.mp4 (9.38 MB)
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10 Test-Train split.mp4 (41.88 MB)
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11 Bias Variance trade-off.mp4 (25.11 MB)
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13 Test-Train Split in R.mp4 (75.66 MB)
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2 Basic equations and Ordinary Least Squared (OLS) method.mp4 (43.37 MB)
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3 Assessing Accuracy of predicted coefficients.mp4 (92.1 MB)
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4 Assessing Model Accuracy - RSE and R squared.mp4 (43.62 MB)
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5 Simple Linear Regression in R.mp4 (40.82 MB)
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6 Multiple Linear Regression.mp4 (34.31 MB)
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7 The F - statistic.mp4 (56.02 MB)
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8 Interpreting result for categorical Variable.mp4 (22.49 MB)
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9 Multiple Linear Regression in R.mp4 (62.4 MB)
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1 Three classification models and Data set.mp4 (52.27 MB)
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2 Importing the data into R.mp4 (8.81 MB)
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3 The problem statements.mp4 (17.07 MB)
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4 Why can't we use Linear Regression.mp4 (16.93 MB)
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1 Logistic Regression.mp4 (32.92 MB)
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2 Training a Simple Logistic model in R.mp4 (25.54 MB)
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3 Results of Simple Logistic Regression.mp4 (26.93 MB)
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4 Logistic with multiple predictors.mp4 (8.53 MB)
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5 Training multiple predictor Logistic model in R.mp4 (15.78 MB)
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6 Confusion Matrix.mp4 (21.11 MB)
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7 Evaluating Model performance.mp4 (35.19 MB)
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8 Predicting probabilities, assigning classes and making Confusion Matrix.mp4 (55.69 MB)
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1 Test-Train Split.mp4 (39.3 MB)
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2 Test-Train Split in R.mp4 (74.24 MB)
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3 The final milestone!.mp4 (11.88 MB)
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