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athletech

benjamin-graham-and-warren-buffett-model-stock-exchange-

There are about 4000 stocks which are actively traded on the stock exchanges at BSE and NSE. Can we extract public financial data from sites like moneycontrol.com to find which are the fundamentally strong stocks. On what stocks would the father of value investing, Benjamin Graham and Warren Buffett the most successful investors in the world make their investments on. Benjamin Graham and Warren Buffett Model Step 1: Filter out all companies with sales less than Rs 250 cr. Companies with sales lower than this are very small companies and might not have the business stability and access to finance that is required for a safe investment. This eliminates the basic business risk. Step 2: Filter out all companies with debt to equity greater than 30%. Companies with low leverage are safer. Step 3: Filter out all companies with interest coverage ratio of less than 4. Companies with high interest coverage ratio have a highly reduced bankruptcy risk. Step 4: Filter out all companies with ROE less than 15% since they are earning less than their cost of capital. High ROE companies have a robust business model, which generates increased earnings for the company typically. Step 5: Filter out all companies with PE ratio greater than 25 since they are too expensive even for a high-quality company. This enables us to pick companies which are relatively cheaper as against their actual value. He points out that applying these filters enables us to reduce and even eliminate a lot of fundamental risks while ensuring a robust business model, strong earning potential and a good buying price.

covid-19-tweets-sentiment-analysis-and-classification

damanagers

Parallax Hack

e-healthify-covid-19

App developed for Hack-the-Crisis India.

emg-signal-analysis

grid-search

hw5-llm

Train a small LLM on the OpenWebText.

id-card-scanner-

Extraction of Registration Number from VIT ID card using Pytesseract. Then, storing the list of these Registration Number in an excel sheet.

iguideu

iGuideU is a Indoor Navigation System.

image-edit-as-imagegen

Repository Corresponding to Project Component of 10-623 Gen AI course

improved-spam-classifier-adaboost

machine-learning-with-pytorch-udacity

mlip-api-lab

Repository for Recitation Lab 1 - Machine Learning in Production [Spring 2024]

mlip-docker-lab

Repository for Recitation Lab 5 - Machine Learning in Production [Spring 2024]

mlip-explainability-lab

Repository for Recitation Lab 10 - Machine Learning in Production [Spring 2024]

mlip-kafka-lab

Repository for Recitation Lab 2 - Machine Learning in Production [Spring 2024]

mlip-kubernetes-lab

Repository for Recitation Lab 9 - Machine Learning in Production [Spring 2024]

mlip-monitoring-lab

Repository for Recitation Lab 8 - Machine Learning in Production [Spring 2024]

mlip_lab6

This repo provides a starter code for Lab 6 - CI with Jenkins

mlip_lab7

This repo is designed for MLIP_Lab7 - MLFlow. This lab focus on the experiment tracking aspect of MLFlow

mltrace

Coarse-grained lineage and tracing for machine learning pipelines.

ntu-seismic-sp-depth-phase-analysis

personal-portfolio-django

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

question_answering

Neural question answering using transformers

rank-o-matic

skills-communicate-using-markdown

My clone repository

skills-introduction-to-github

My clone repository

spam-classifier-naivebayes