Udemy Linear Regression and Logistic Regression using R Studio
Download Free Download : Udemy Linear Regression and Logistic Regression using R Studio mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz Genre: eLearning | Language: English | Size: 2.34 GB
Files Included : 1 Introduction.mp4 (24.45 MB) MP4 1 Types of Data.mp4 (21.77 MB) MP4 2 This is a milestone!.mp4 (20.67 MB) MP4 3 Types of Statistics.mp4 (10.93 MB) MP4 4 Describing the data graphically.mp4 (65.34 MB) MP4 5 Measures of Centers.mp4 (38.59 MB) MP4 6 Measures of Dispersion.mp4 (22.86 MB) MP4 1 Installing R and R studio.mp4 (35.69 MB) MP4 2 Basics of R and R studio.mp4 (38.84 MB) MP4 3 Packages in R.mp4 (82.97 MB) MP4 4 Inputting data part 1 Inbuilt datasets of R.mp4 (40.74 MB) MP4 5 Inputting data part 2 Manual data entry.mp4 (25.51 MB) MP4 6 Inputting data part 3 Importing from CSV or Text files.mp4 (60.1 MB) MP4 7 Creating Barplots in R.mp4 (96.75 MB) MP4 8 Creating Histograms in R.mp4 (42.01 MB) MP4 1 Gathering Business Knowledge.mp4 (14.53 MB) MP4 10 Missing Value imputation in R.mp4 (26.01 MB) MP4 11 Seasonality in Data.mp4 (17.03 MB) MP4 12 Bi-variate Analysis and Variable Transformation.mp4 (100.46 MB) MP4 13 Variable transformation in R.mp4 (55.42 MB) MP4 14 Non Usable Variables.mp4 (20.25 MB) MP4 15 Dummy variable creation Handling qualitative data.mp4 (36.81 MB) MP4 16 Dummy variable creation in R.mp4 (44.01 MB) MP4 17 Correlation Matrix and cause-effect relationship.mp4 (71.58 MB) MP4 18 Correlation Matrix in R.mp4 (83.15 MB) MP4 2 Data Exploration.mp4 (20.11 MB) MP4 3 The Data and the Data Dictionary.mp4 (69.34 MB) MP4 4 Importing the dataset into R.mp4 (13.1 MB) MP4 5 Univariate Analysis and EDD.mp4 (24.22 MB) MP4 6 EDD in R.mp4 (96.98 MB) MP4 7 Outlier Treatment.mp4 (27.25 MB) MP4 8 Outlier Treatment in R.mp4 (30.74 MB) MP4 9 Missing Value imputation.mp4 (23.14 MB) MP4 1 The problem statement.mp4 (9.38 MB) MP4 10 Test-Train split.mp4 (41.88 MB) MP4 11 Bias Variance trade-off.mp4 (25.11 MB) MP4 13 Test-Train Split in R.mp4 (75.66 MB) MP4 2 Basic equations and Ordinary Least Squared (OLS) method.mp4 (43.37 MB) MP4 3 Assessing Accuracy of predicted coefficients.mp4 (92.1 MB) MP4 4 Assessing Model Accuracy - RSE and R squared.mp4 (43.62 MB) MP4 5 Simple Linear Regression in R.mp4 (40.82 MB) MP4 6 Multiple Linear Regression.mp4 (34.31 MB) MP4 7 The F - statistic.mp4 (56.02 MB) MP4 8 Interpreting result for categorical Variable.mp4 (22.49 MB) MP4 9 Multiple Linear Regression in R.mp4 (62.4 MB) MP4 1 Three classification models and Data set.mp4 (52.27 MB) MP4 2 Importing the data into R.mp4 (8.81 MB) MP4 3 The problem statements.mp4 (17.07 MB) MP4 4 Why can't we use Linear Regression.mp4 (16.93 MB) MP4 1 Logistic Regression.mp4 (32.92 MB) MP4 2 Training a Simple Logistic model in R.mp4 (25.54 MB) MP4 3 Results of Simple Logistic Regression.mp4 (26.93 MB) MP4 4 Logistic with multiple predictors.mp4 (8.53 MB) MP4 5 Training multiple predictor Logistic model in R.mp4 (15.78 MB) MP4 6 Confusion Matrix.mp4 (21.11 MB) MP4 7 Evaluating Model performance.mp4 (35.19 MB) MP4 8 Predicting probabilities, assigning classes and making Confusion Matrix.mp4 (55.69 MB) MP4 1 Test-Train Split.mp4 (39.3 MB) MP4 2 Test-Train Split in R.mp4 (74.24 MB) MP4 3 The final milestone!.mp4 (11.88 MB) MP4
Коментарии
Информация
Посетители, находящиеся в группе Гости , не могут оставлять комментарии к данной публикации.