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ranjiGT/README.md

Hey there! I'm Ranji Raj

Typing SVG

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🙋‍♂️ About Me

  • Ran is pronounced like RUN, ji is pronounced like English alphabet G
  • 🎓 M.Sc. in Data Science from Germany
  • 🤖 6+ years of experience in Automation Engineering
  • 🎬 Passionate about teaching Data Science & Deep Learning on YouTube

youtube subscribers youtube views total stars followers views


📺 Recent YouTube Lessons

Create Gantt charts in LaTeX using Overleaf | Tutorial 6 Creating Flow Diagrams and Inserting Images in LaTeX | Tutorial 5 Creating Images on LaTeX using Overleaf | Tutorial 4 How to create tables using LaTeX on Overleaf | Tutorial 3 Basic Structure of a LaTeX Document on Overleaf | Tutorial 2 Introduction to LaTeX on Overleaf | Tutorial 1


🛠️ Tech Stack

👨‍💻 Languages

Python R SQL JavaScript HTML LaTeX Markdown

🧰 Frameworks & Libraries

NumPy Pandas Flask Gunicorn Node.js GitHub Actions

🗄️ Databases & Cloud

PostgreSQL MySQL MongoDB GitHub Pages Heroku

💻 Tools

VS Code Jupyter Git GitHub Desktop Stack Overflow


🌍 Open Source Contributions

Project Contribution Impact
nteract/testbook Bug report: Return value as None from testbook function Found a bug in the @testbook decorator that returned None instead of the actual value. Led to fix in PR #145.

🏅 Stack Overflow

Stack Overflow reputation Silver badges Bronze badges

Notable badges: Necromancer · Enthusiast · Census · Critic · Curious · Peer Pressure


📊 GitHub Stats

Ranji Raj's Github Stats Ranji Raj's Top Languages

🔥 Streak Stats

Ranji Raj's streak

Ranji Raj's Activity Graph

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  1. Ton-of-Fun-with-Computer-Graphics Ton-of-Fun-with-Computer-Graphics Public

    CG with C++

    C++ 1 1

  2. A touch up script in R for problem-s... A touch up script in R for problem-solving
    1
    library(tidyverse)
    2
    category <- c("red", "blue", "green", "yellow")
    3
    tag <- c("yes", "no", "maybe", "idk")
    4
    value <- c(21, 1, 10, 9) 
    5
    df <- data.frame(category, tag, value) %>% 
  3. KNN classifier in action KNN classifier in action
    1
    library(caret)
    2
    # Create training and test sets
    3
    set.seed(123)
    4
    trainIndex <- sample(c(FALSE,TRUE), size = nrow(dat), prob = c(.25,.75), replace = TRUE)
    5
    train_set <- dat[trainIndex, ]
  4. BatchLinearRegor BatchLinearRegor Public

    A py3 code that implements batch linear regressor using gradient descent.

    Jupyter Notebook 1

  5. ML-latex-amendments ML-latex-amendments Public

    Contains coursework assignments made in latex.

    TeX 65 28

  6. Data-Structures Data-Structures Public

    Jupyter Notebook 4 5