17.02 GB | 1h 4min 23s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 - R Introduction.mp4 (1.03 GB)
13 - K Nearest Neighbour Introduction K Nearest Neighbour Algorithm.mp4 (542.12 MB)
14 - What is a Decision Tree How to create Decision Tree.mp4 (432.53 MB)
15 - Ensample of Decision Tree.mp4 (304.75 MB)
16 - Linear SVM using Hyperplane NonLinear Hyperplane using Kernal Trick.mp4 (868.57 MB)
17 - RFM Segmentation and Analysis Propensity Modelling and its application.mp4 (869.02 MB)
18 - Real Time Project Customer Loyalty Analytics and its Application.mp4 (1.21 GB)
19 - Credit Risk Analytics using Logistic Regression.mp4 (1.68 GB)
20 - Course Complete.mp4 (1.11 GB)
2 - R Implementation R Data Structures R Interfaces R Interfaces.mp4 (868.56 MB)
3 - Introduction to Visualisation Line Plots and Bar Charts Pie Chart and Histog.mp4 (746.97 MB)
4 - Predictive Customer Analytics using R Linear Regression using R SoftwarePart1.mp4 (636.35 MB)
5 - Predictive Customer Analytics using R Linear Regression using R SoftwarePart2.mp4 (1.1 GB)
6 - Logistic Function Single Predictor Model.mp4 (789.24 MB)
7 - Sales Promotion Effectiveness Dimension Reduction using R Software Part 1.mp4 (564.55 MB)
8 - Sales Promotion Effectiveness Dimension Reduction using R Software Part 2.mp4 (1.24 GB)
10 - Customer and Market Segmentation Cluster Analysis using R SoftwarePart 2.mp4 (797.17 MB)
9 - Customer and Market Segmentation Cluster Analysis using R SoftwarePart 1.mp4 (871.05 MB)
11 - Association Rule Introduction Apriori Algorithm Multiple Association Rules.mp4 (979.26 MB)
12 - Naive Bayes Introduction Probabilistic Basics and Probabilistic Classification.mp4 (909.71 MB)]
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