- Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
- Covered Chapter 1 : Anatomy of a figure [Fundamentals] | [Repo]
- Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
- Covered Chapter 2 : Coordinate systems [Fundamentals] | [Repo]
- Content : Scientific Visualization: Python + Matplotlib by Nicolas Rougier | [Site] [Repo] [PDF]
- Covered Chapter 3 : Scales & projections [Fundamentals] | [Repo]
- Content : ML Zoomcamp by Alexey Grigorev | [Repo]
- Covered Session 9 : Serverless Deep Learning | [Repo]
- Content : 100 NumPy Exercises by Nicolas Rougier | [Repo] | [Problems]
- Solved a large portion of the problems from this repo. | [Hints] | [Hints w/ Solution]
- Content : Linear Algebra Done Right by Sheldon Axler | [Site] | [Lecture Videos]
- Covered the following Lectures :
- 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]
- Content : Medical Imaging with Deep Learning Tutorial by Joseph Paul Cohen
- Covered all 5 lectures of this playlist
- Content : Select Movies with Python - Web Scraping Tutorial by Patrick Loeber (Python Engineer) | [Youtube] | [GitHub]
- Covered this web scrapping tutorial
- 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.
- 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.
- 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.
- 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.