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365 Data Science - Customer Analytics in Python [CoursesGhar]
大小 795.21 MB
文件数 64
Info Hash: 58FF1D5D5E34AB3698925BD9DD19C491ECC41B65
收录时间 2025-12-21 03:14:10
更新时间 2025-12-21 11:08:43
文件列表 (64)
!! IMPORTANT Note !!.txt
298 B
!!! Please Support !!! [CoursesGhar.Com].txt
197 B
00. Websites You May Like/A1movies.com.pk.url
116 B
00. Websites You May Like/CoursesGhar.com.url
114 B
1. A Brief Marketing Introduction/1. Segmentation, Targeting, Positioning.mp4
27.75 MB
1. A Brief Marketing Introduction/2. Marketing Mix.mp4
28.19 MB
1. A Brief Marketing Introduction/3. Physical and Online Retailers - Similarities and Differences..mp4
23.15 MB
1. A Brief Marketing Introduction/4. Price Elasticity.mp4
32.14 MB
10. Modeling Purchase Quantity/1. Purchase Quantity Models. The Model - Linear Regression.mp4
7.86 MB
10. Modeling Purchase Quantity/2. Preparing the Data and Fitting the Model.mp4
29.55 MB
10. Modeling Purchase Quantity/3. Calculating Price Elasticity of Purchase Quantity.mp4
10.73 MB
10. Modeling Purchase Quantity/4. Price Elasticity of Purchase Quantity - Results.mp4
6.6 MB
11. Deep Learning/1. Introduction to Deep Learning for Customer Analytics.mp4
10.95 MB
11. Deep Learning/10. Saving the Model and Preparing for Deployment.mp4
4.41 MB
11. Deep Learning/11. Predicting on New Data.mp4
18.52 MB
11. Deep Learning/2. Exploring the Dataset.mp4
22.59 MB
11. Deep Learning/3. How Are We Going to Tackle the Business Case.mp4
3.02 MB
11. Deep Learning/4. Balancing the Dataset.mp4
44.65 MB
11. Deep Learning/5. Preprocessing the Data for Deep Learning.mp4
30.54 MB
11. Deep Learning/6. Outlining the Deep Learning Model.mp4
8.53 MB
11. Deep Learning/7. Training the Deep Learning Model.mp4
27.01 MB
11. Deep Learning/8. Testing the Model.mp4
15.63 MB
11. Deep Learning/9. Obtaining the Probability of a Customer to Convert.mp4
17.07 MB
2. Segmentation Data/1. Getting to know the Segmentation Dataset.mp4
11.83 MB
2. Segmentation Data/2. Importing and Exploring Segmentation Data.mp4
30 MB
2. Segmentation Data/3. Standardizing Segmentation Data.mp4
9.15 MB
3. Hierarchical Clustering/1. Hierarchical Clustering - Background.mp4
8.78 MB
3. Hierarchical Clustering/2. Hierarchical Clustering - Implementation and Results.mp4
16.2 MB
4. K-Means Clustering/1. K-Means Clustering - Background.mp4
7.29 MB
4. K-Means Clustering/2. K-Means Clustering - Application.mp4
10.91 MB
4. K-Means Clustering/3. K-Means Clustering - Results.mp4
20.24 MB
5. K-Means Clustering based on Principal Component Analysis/1. Principal Component Analysis - Background.mp4
4.07 MB
5. K-Means Clustering based on Principal Component Analysis/2. Principal Component Analysis - Application.mp4
10.53 MB
5. K-Means Clustering based on Principal Component Analysis/3. Principal Component Analysis - Results.mp4
9.86 MB
5. K-Means Clustering based on Principal Component Analysis/4. K-Means Clustering with Principal Components - Application.mp4
6.99 MB
5. K-Means Clustering based on Principal Component Analysis/5. K-Means Clustering with Principal Components - Results.mp4
25.48 MB
5. K-Means Clustering based on Principal Component Analysis/6. Saving the Models.mp4
8.82 MB
6. Purchase Data/1. Purchase Analytics - Introduction.mp4
3.1 MB
6. Purchase Data/2. Getting to know the Purchase Dataset.mp4
20.37 MB
6. Purchase Data/3. Importing and Exploring Purchase Data.mp4
4.23 MB
6. Purchase Data/4. Applying the Segmentation Model.mp4
9.31 MB
7. Descriptive Analyses by Segments/1. Purchase Analytics Descriptive Statistics - Segment Proportions.mp4
13.95 MB
7. Descriptive Analyses by Segments/2. Purchase Analytics Descriptive Statistics - Purchase occasion and purchase Incidence.mp4
9.47 MB
7. Descriptive Analyses by Segments/3. Brand Choice.mp4
11.79 MB
7. Descriptive Analyses by Segments/4. Dissecting the revenue by segment.mp4
15.19 MB
8. Modeling Purchase Incidence/1. Purchase Incidence Models. The Model - Binomial Logistic Regression.mp4
6.4 MB
8. Modeling Purchase Incidence/2. Prepare the Dataset for Logistic Regression.mp4
3.01 MB
8. Modeling Purchase Incidence/3. Model Estimation.mp4
9.22 MB
8. Modeling Purchase Incidence/4. Calculating Price Elasticity of Purchase Probability.mp4
14.36 MB
8. Modeling Purchase Incidence/5. Price Elasticity of Purchase Probability - Results.mp4
12.52 MB
8. Modeling Purchase Incidence/6. Purchase Probability by Segments.mp4
18.05 MB
8. Modeling Purchase Incidence/7. Purchase Probability Model with Promotion.mp4
6.04 MB
8. Modeling Purchase Incidence/8. Calculating Price Elasticities with Promotion.mp4
5.13 MB
8. Modeling Purchase Incidence/9. Comparing Price Elasticities with and without Promotion.mp4
7.39 MB
9. Modeling Brand Choice/1. Brand Choice Models. The Model - Multinomial Logistic Regression.mp4
6.98 MB
9. Modeling Brand Choice/2. Prepare Data and Fit the Model.mp4
5.19 MB
9. Modeling Brand Choice/3. Interpreting the Coefficients.mp4
6.67 MB
9. Modeling Brand Choice/4. Own Price Brand Choice Elasticity.mp4
11.37 MB
9. Modeling Brand Choice/5. Cross Price Brand Choice Elasticity.mp4
14.13 MB
9. Modeling Brand Choice/6. Own and Cross-Price Elasticity by Segment.mp4
16.16 MB
9. Modeling Brand Choice/7. Own and Cross-Price Elasticity by Segment - Comparison.mp4
16.17 MB
Join Our Telegram Group For More Updates !!!.url
138 B
Uploaded by [Coursesghar.com].txt
1.1 KB
Visit coursesghar.com for more awesome tutorials.url
114 B
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