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Nish - SadGarlicAI

A personal exploration of data science, machine learning, and AI with hands-on tutorials, insights, and projects.

Table of Contents

Introduction

SadGarlicAI is a Jekyll-based blog and portfolio site where I share my journey in data science, machine learning, and AI. This repository contains the source code for my GitHub Pages site.

Installation

To run this project locally, you'll need to install Jekyll and other dependencies.

Prerequisites

  • Ruby
  • Bundler
  • Jekyll

Steps

  1. Clone the repository:

    git clone https://github.com/nishzsche/nishzsche.github.io.git
cd nishzsche.github.io

  2. Install dependencies:

    bundle install

  3. Build and serve the site:

    bundle exec jekyll serve

  4. Open your browser and navigate to http://localhost:4000 to see the site.

Usage

You can add new blog posts by creating markdown files in the _posts directory. The filename should follow the format YYYY-MM-DD-title.md.

Example Post

---
layout: post
title: "My First Post"
date: 2024-05-24
---

This is the content of my first post.

Nishanth Rajamani's Projects

data-science-cheatsheet icon data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-structures-and-algorithms icon data-structures-and-algorithms

An Open-Source repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.

godaddy-microbusinessdensity-forecast icon godaddy-microbusinessdensity-forecast

Kaggle competition by GoDaddy to forecast microbusiness density at the county level. Ref: https://www.kaggle.com/competitions/godaddy-microbusiness-density-forecasting

hr_data_analysis icon hr_data_analysis

This is an assignment work for Sequioa that tries to understand employee turnover

intropy icon intropy

Materials for a 2 week Python course taught at the Research Master Psychology (University of Amsterdam)

prison-stats icon prison-stats

This project looks at the prison statistics of India 2019

thinkpython2 icon thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

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