From 2fd5b89097bc82acac54ef50cb395c2420eb13ed Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabiana=20=20=E2=9A=A1=EF=B8=8F=20Campanari?=
 <113218619+FabianaCampanari@users.noreply.github.com>
Date: Wed, 17 Sep 2025 12:32:36 -0300
Subject: [PATCH] Update weekly schedule and correct links
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Signed-off-by: Fabiana  ⚡️ Campanari <113218619+FabianaCampanari@users.noreply.github.com>
---
 README.md | 27 +++++++++++++++------------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/README.md b/README.md
index b34fbdb..0f70336 100644
--- a/README.md
+++ b/README.md
@@ -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]()
 
 <br>
@@ -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 | – | – |
 
 
 <br><br>