GitHub - braimahm/Machine-Learning-Assignments-and-Capstone-Projects: These are machine learning models I developed including those I developed for my masters thesis and those I made during assignments

Machine Learning Models and Data Techniques These are projects that I have worked on

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Activity_Build a K-means model.ipynb		Activity_Build a K-means model.ipynb
Activity_Build a Naive Bayes model (1).ipynb		Activity_Build a Naive Bayes model (1).ipynb
Activity_Build a decision tree (1).ipynb		Activity_Build a decision tree (1).ipynb
Activity_Build a random forest model.ipynb		Activity_Build a random forest model.ipynb
Activity_Build an XGBoost model.ipynb		Activity_Build an XGBoost model.ipynb
Activity_Course 6 Automatidata project lab (1).ipynb		Activity_Course 6 Automatidata project lab (1).ipynb
Activity_Perform feature engineering.ipynb		Activity_Perform feature engineering.ipynb
Activity_Validate and clean your data.ipynb		Activity_Validate and clean your data.ipynb
Exploratory Data Analysis TikTok project lab Mohammed Braimah.ipynb		Exploratory Data Analysis TikTok project lab Mohammed Braimah.ipynb
K_means_10nm_Field_Data.ipynb		K_means_10nm_Field_Data.ipynb
README.md		README.md
Random_Forest_Model_for_First_Derivatives_Field_Data.ipynb		Random_Forest_Model_for_First_Derivatives_Field_Data.ipynb
Regression__Activity_ Automatidata project lab Mohammed.ipynb		Regression__Activity_ Automatidata project lab Mohammed.ipynb
Statistical_ Analysis_Course 4 Automatidata project lab.ipynb		Statistical_ Analysis_Course 4 Automatidata project lab.ipynb
k_means_Clustering_of_Field_Derivatives.ipynb		k_means_Clustering_of_Field_Derivatives.ipynb
k_means_Clustering_of_VPCA_Spectra.ipynb		k_means_Clustering_of_VPCA_Spectra.ipynb