Advanced Data Mining projects with R (2017)
Torrent Contents Size: 243.6 MB
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| Application of Methods and Limitations of Collaborative Filtering.mp4 |
MP4
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4.6 MB
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| Clustering Methods – K means and Hierarchical.mp4 |
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58.1 MB
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| Clustering Methods – Model Based, Other and Comparison.mp4 |
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20.3 MB
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| Introduction to Neural Networks.mp4 |
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7.3 MB
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| Merits and Demerits of Neural Networks.mp4 |
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3.8 MB
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| Neural Network Implementation in R.mp4 |
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5.3 MB
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| Neural Networks for Classification.mp4 |
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5.9 MB
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| Neural Networks for Forecasting.mp4 |
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4.7 MB
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| Neural Networks for Prediction.mp4 |
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12.8 MB
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| Parametric Approach to Dimension Reduction.mp4 |
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4.9 MB
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| Practical Project around Dimensionality Reduction.mp4 |
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47.4 MB
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| Practical Project.mp4 |
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17.4 MB
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| The Course Overview.mp4 |
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13.5 MB
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| Understanding Customer Segmentation.mp4 |
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6.6 MB
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| Understanding the Math Behind the Neural Network.mp4 |
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3.1 MB
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| What Is Recommendation-.mp4 |
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12.9 MB
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| Why Dimensionality Reduction-.mp4 |
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15 MB
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