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Update weekly schedule and correct links #149

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Sep 17, 2025
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Update weekly schedule and correct links #149

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27 changes: 15 additions & 12 deletions README.md
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Expand Up @@ -163,6 +163,8 @@ Enable students to **plan, conduct, and complete a research project** applying k

Statistic Review - Stats Measures - Mean - Median - Mode - Variance]()

https://github.com/Quantum-Software-Development/7-DataMining-Regression-Techniques-Data-Integration

## [Weekly Schedule]()

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Expand All @@ -175,18 +177,19 @@ Statistic Review - Stats Measures - Mean - Median - Mode - Variance]()
| 4 | [Data Mining - Concepts - Exploratory Analysis](https://github.com/Quantum-Software-Development/4-DataMining_Concepts_ExploratoryAnalysis) | Active methodology | Python - R |
| 5 | [Data Cleaning - Preparation - Anomalies (Outliers)](https://github.com/Quantum-Software-Development/5-DataMining_DataCleaning_Preparation_Anomalies_Outlier) | Active methodology | Python |
| 6 | [Data Mining - Pre Processing](https://github.com/Quantum-Software-Development/6-DataMining_Pre-Processing) | Active methodology | Python |
| 7 | [Predictive analysis](https://github.com/Quantum-Software-Development/7-DataMining_XXX) | Active methodology | Python |
| 8 | Clustering techniques | Active methodology | Python |
| 9 | Clustering techniques | Active methodology | Python |
| 10 | **P1 Exam** | Written (Individual) | – |
| 11 | K-Means algorithm | Active methodology | Python |
| 12 | Affinity Propagation | Active methodology | Python |
| 13 | Mean-Shift algorithm | Active methodology | Python |
| 14 | Principal Component Analysis (PCA) | Active methodology | Python |
| 15 | Dictionary Learning | Active methodology | Python |
| 16 | **P2 Exam** | Written (Individual) | – |
| 17 | **P3 Exam & Grade Closure** | Written (Individual) | – |
| 18 | Final grade submission | – | – |
| 7 | [Regression Techniques with Data Integration](https://github.com/Quantum-Software-Development/7-DataMining-Regression-Techniques-Data-Integration) | Active methodology | Python |
| 8 | [Predictive analysis]() | Active methodology | Python |
| 9 | Clustering techniques | Active methodology | Python |
| 10 | Clustering techniques | Active methodology | Python |
| 11 | **P1 Exam** | Written (Individual) | – |
| 12 | K-Means algorithm | Active methodology | Python |
| 14 | Affinity Propagation | Active methodology | Python |
| 14 | Mean-Shift algorithm | Active methodology | Python |
| 15 | Principal Component Analysis (PCA) | Active methodology | Python |
| 16 | Dictionary Learning | Active methodology | Python |
| 17 | **P2 Exam** | Written (Individual) | – |
| 18 | **P3 Exam & Grade Closure** | Written (Individual) | – |
| 19 | Final grade submission | – | – |


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