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| Name of Author: |
datascience |
| Personal Description: |
This data science course begins with an introduction to statistics, probability, python and R programming and exploratory data analysis. Participants learn to perform Data Mining Supervised with Linear regression and Predictive Modelling with Multiple Linear Regression techniques. Data Mining Unsupervised using Clustering, dimension reduction and association rules is also dealt with in detail. A module is dedicated to scripting machine learning algorithms and enabling deep learning and neural ne |
| Personal Interests: |
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| No Of Articles: |
1 |
| Awards: |
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