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