PinnedPublished inTowards Data ScienceTransfer Learning in Speech Emotion RecognitionAs a follow-up to my previous post, I will be applying transfer learning to the RAVDESS Audio Dataset in hopes to improve the model’s…Nov 3, 2020Nov 3, 2020
PinnedPublished inTowards Data ScienceSpeech Emotion Recognition Using RAVDESS Audio DatasetA step-by-step guide of building a 1D CNN model and using data augmentation methods to classify eight classes of emotions.Oct 27, 2020Oct 27, 2020
Published inTowards Data ScienceBasics of Python GeneratorsUnderstanding the basics of generators and implementing them in PythonFeb 8, 2021Feb 8, 2021
Published inTowards Data ScienceClassifying MNIST Digits Using PCA + Deep LearningPreprocessing MNIST data with PCA to build more efficient CNN modelFeb 1, 2021Feb 1, 2021
Published inTowards Data ScienceHeart Disease Classification — Part IIClassification plus using ensemble methods to achieve an overall accuracy score of ~92%Jan 26, 2021Jan 26, 2021
Published inThe StartupGender Imbalance in Data ScienceWith the rapid growth of data, the demand for data scientists grows as well. According to Smith Hanley Associates, data scientists are…Jan 18, 20211Jan 18, 20211
Published inTowards Data ScienceHeart Disease Classification Project — Part IExploratory data analysis on UCI’s Heart Disease DatasetJan 12, 2021Jan 12, 2021
Published inTowards Data ScienceEfficient Time-Series Using Python’s Pmdarima LibraryDemonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.Jan 5, 20214Jan 5, 20214
Published inTowards Data ScienceRegular Expressions : Using the “re” Module to Extract Information From StringsDifferences between findall(), match(), and search() functions in Python’s built-in Regular Expression module.Dec 29, 2020Dec 29, 2020
Published inTowards Data SciencePython Objects and ClassesExplaining the basics of Python objects and classes using examplesDec 22, 2020Dec 22, 2020
