Pinned Loading

1. Advanced_Machine_Learning Advanced_Machine_Learning Public

   Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.

   Jupyter Notebook 1

2. Classification_Models Classification_Models Public

   Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

   Jupyter Notebook 1

3. Feature_Engineering Feature_Engineering Public

   Improving Machine Learning models performances through Feature Engineering and Feature Scaling techniques such as Principal Component Analysis (PCA), Dummy variables, Standard Scaling and Data Norm…

   Jupyter Notebook 1

4. Unsupervised_Classification Unsupervised_Classification Public

   Working with unsupervised learning models (K-means, Hierarchical Clustering, PCA) in order to classify a delayed flights data set in clusters and discovering new possible patterns in it.

   Jupyter Notebook 1

5. Cajamar_UniversityHack_Datathon_2023 Cajamar_UniversityHack_Datathon_2023 Public

   Participación en el Cajamar UniversityHack Datathon 2023 como miembro del equipo Pynot

   Jupyter Notebook 1

6. PumpItUp PumpItUp Public

   My participation in the 'Pump it Up: Data Mining the Water Table' challenge by DrivenData

   Jupyter Notebook 1