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Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.
This project used NLP to topic model classical music based on musical chords. Classical composers were then clustered using the topics from the NLP, and then a neural network was used to generate original music based on trained music of the different classical composers. All of these metrics were used as a model for complexity of music.
For the Unsupervised Machine Learning [PPGEEC2325] course by Professor Luiz Affonso at UFRN, this application displays word2vec embeddings using PCA and t-SNE, allowing users to easily grasp linguistic patterns.
This project highlights the importance of dimensionality reduction by exploring 2 Machine learning techniques called "Principal Component Analysis" and "T-SNE".
Repository of Data Analysis and Visualization Homework: Contains my work for the class using Tableau, Excel, and Python. Explore the files for insights and knowledge.