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Data Science Portfolio

Respository consisting of projects completed for self learning. All of my projects are done using Jupyter Notebook in Python 3.

Content

  • Talks

    • Detective of Los Angeles

      • Presented a fun data exploratory project to investigate LA Crime Data as part of GRIDS (Graduates Rising in Data Science) Presents 2019, a USC Data Science group for graduate students

  • Starter projects

    • Spam or not Spam

      • Classifies an email as 'spam' or 'not spam' using Logistic Regression and K-Neighbors

    • Digit Classification

      • Uses MNSIT dataset known as 'Hello World of Machine Learning' to classify digits from 0 to 9 using Stochastic Gradient Descent, Random Forest Classifier and One Vs One Classifier

    • California Housing Price prediction

      • To predict the median house price in california from a 1990 dataset. The purpose of this project was data exploration and preparation