Lucas' Bachelor Thesis

By lucabach
  • Period: to

    First intro to pandas

    W3school basic tutorial
  • Period: to

    Literature introduction

    read papers by Manoel and Peppe, mostly on reddit-related stuff, the manosphere etc.

  • First ML task

    solved my first ML task about ridge regression & K-Fold cross validation, learned how to import and use the respective libraries

  • First look into the data

    Introduction by Peppe to the four main data providers

  • A deeper look into Pandas

    Followed a more in-depth pandas introduction on kaggle including exercises w.r.t:
    • Creating, Reading, Writing
    • Indexing, Selecting, Assigning
    • Summary Functions, Maps
    • Grouping & Sorting
    • Data Types & Missing Values (Nans)
    • Renaming & Combining

  • My second ML task

    Solved my second ML task about linear regression

  • Supervisor

    I got the confimation from Prof. Elliott Ash. He accepted to supervise my thesis.