100 Days Of Data

Day 001 [23 November 2021]

• Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
• Covered Chapter 1 : Anatomy of a figure [Fundamentals] | [Repo]

Day 002 [24 November 2021]

• Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
• Covered Chapter 2 : Coordinate systems [Fundamentals] | [Repo]

Day 003 [25 November 2021]

• Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
• Covered Chapter 3 : Scales & projections [Fundamentals] | [Repo]

Day 004 [26 November 2021]

• Content : ML Zoomcamp by Alexey Grigorev | [Repo]
• Covered Session 9 : Serverless Deep Learning | [Repo]

Day 005 [27 November 2021]

• Content : 100 NumPy Exercises by Nicolas Rougier | [Repo] | [Problems]
• Solved a large portion of the problems from this repo. | [Hints] | [Hints w/ Solution]

Day 006 [28 November 2021]

• Content : Linear Algebra Done Right by Sheldon Axler | [Site] | [Lecture Videos]
• Covered the following Lectures :
  • Section 1.A: Rn and Cn
  • Section 1.B: Definition of Vector Space
  • Section 1.C: Subspaces
  • Section 2.A: Span and Linear Independence
  • Section 2.B: Bases

Day 007 [02 December 2021]

• Content : SQL for Data Analysts and Data Scientists IN 1 HOUR by Shashank Kalanithi
  • Covered this whole Course Lecture of 53:19 Mins. | [Youtube Link] | [Notes] | [Course Files]

Day 008 [07 December 2021]

• Content : Medical Imaging with Deep Learning Tutorial by Joseph Paul Cohen
  • Covered all 5 lectures of this playlist

Day 009 [10 December 2021]

• Content : Select Movies with Python - Web Scraping Tutorial by Patrick Loeber (Python Engineer) | [Youtube] | [GitHub]
  • Covered this web scrapping tutorial

Day 010 [18 December 2021]

• Content : Transformers Meet Active Learning: Less Data, Better Performance by Amine Elhattami | [Article] | [Colab Notebook] | [GitHub Repo]
  • Went through this hands-on tutorial on how to use Active Learning with Transformer models.

Day 011 [23 December 2021]

• Content : Remote Sensing: Deep Learning for Land Cover Classification of Satellite Imagery Using Python by Syam kakarla | [Medium] | [GitHub Repo]
  • Went through this detailed explanation and Implementation of the 3D-CNN model for land cover classification of satellite imagery using Python.

Day 012 [29 December 2021]

• Content : Learn Gradio - Python ML App Tutorial - Full Course for Beginners & Intermediate ML Engineers by 1littlecoder | [Youtube] | [GitHub Repo]
  • Covered this video and got to learn about Gradio Components, Gradio Multiple inputs, Debugging & Flagging, Improving UI + UX, Gradio Sharing + Auth and Deploying DL Gradio App with Hugging Face Spaces.
• Accompanying Paper: "Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild", ICML HILL 2019
  • Went through this accompanying paper shared by Gradio on their GitHub Repository. The authors carried out a case study to understand Gradio’s usefulness and usability in the setting of a machine learning collaboration between a researcher and a cardiologist.

Day 013 [31 December 2021]

• Content : Book Chapter : 'Approaching ensembling and stacking' from the Book Approaching (Almost) Any Machine Learning Problem by Abhishek Thakur
  • Went through this chapter to revise the concepts of Ensembling and Stacking and tried the worked out examples.
• Content : Ensembling, Blending & Stacking by Abhishek Thakur
  • Went through this hands on tutorial on Ensembling, Blending and Stacking and tried the examples.

Day 014 [01 January 2022]

• Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
• Covered Chapter 4 : Elements of typography [Fundamentals] | [Repo]