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Update links and descriptions in README.md
Signed-off-by: Fabiana ⚡️ Campanari <113218619+FabianaCampanari@users.noreply.github.com>
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README.md

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@@ -175,9 +175,10 @@ Statistic Review - Stats Measures - Mean - Median - Mode - Variance]()
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| 4 | [Data Mining - Concepts - Exploratory Analysis](https://github.com/Quantum-Software-Development/4-DataMining_Concepts_ExploratoryAnalysis) | Active methodology | Python - R |
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| 5 | [Data Cleaning - Preparation - Anomalies (Outliers)](https://github.com/Quantum-Software-Development/5-DataMining_DataCleaning_Preparation_Anomalies_Outlier) | Active methodology | Python |
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| 6 | [Data Mining - Pre Processing](https://github.com/Quantum-Software-Development/6-DataMining_Pre-Processing) | Active methodology | Python |
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| 7 | Predictive analysis | Active methodology | Python |
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| 8, 10 | Clustering techniques | Active methodology | Python |
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| 9 | **P1 Exam** | Written (Individual) ||
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| 7 | [Predictive analysis](https://github.com/Quantum-Software-Development/7-DataMining_XXX) | Active methodology | Python |
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| 8 | Clustering techniques | Active methodology | Python |
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| 9 | Clustering techniques | Active methodology | Python |
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| 10 | **P1 Exam** | Written (Individual) ||
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| 11 | K-Means algorithm | Active methodology | Python |
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| 12 | Affinity Propagation | Active methodology | Python |
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| 13 | Mean-Shift algorithm | Active methodology | Python |

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