Amogh Nigam's starred repositories
code-library
Templates, algorithms and data structures implemented and collected for programming contests.
Amazon-SDE-Preparation
This repository includes all the interview preparation questions for Amazon SDE role
depthai-experiments
Experimental projects we've done with DepthAI.
workshop-library
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities
Deep-SORT-YOLOv4
People detection and optional tracking with Tensorflow backend.
depthai-hardware
Altium Designs for DepthAI Carrier Boards
Clustering-with-LLM
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
Coding-Ninjas-Full-Stack-Web-Development
It contains all the files I created during the MERN full stack web development course with coding ninjas
Automatic-Trading-using-Artificial-Intelligence-machine-Learning-on-Indian-Stock-Market-_Zerodha
Online trading using Artificial Intelligence Machine leaning with python on Indian Stock Market
pern-stack-auth
:clipboard: Repair. PERN stack todo app with jwt user authentication
nodejs-razorpay
A simple Node.js application with React frontend for making payments with Razorpay
Deep-Neural-Networks-with-PyTorch
Deep Neural Networks with PyTorch IBM
EDA-Automobile-Dataset
How to get start with a Machine Learning or a Data Science Project - Exploratory Data Analysis - step by step
Competitive-Programming-Resources
Competitive Programming & System Design Resources.
coursera-slides
Slides and PDF
meeting-room-low-level-design
Low-level design of Meeting Room Application Implementation.
Microsoft-Engage-Rythmetic
Microsoft Engage 2022 - Face Recognition Web Application
Identification-of-promising-e-commerce-acquisition-targets.
sanitized and analyzed the data to profile the sellers present and develop selection criteria to identify the best or most promising sellers in this dataset.
E-commerce-Seller-Acquisition-identification
To sanitize and analyze the data to profile the sellers present and develop selection criteria to identify the best or most promising sellers in this dataset, that the Acquisitions team at any company should reach out to, and acquire. The model used Kmeans clustering and Heirarchical clustering to identify sellers targets for acquisition.