a-hiot

A-HIOT stands for automated hit identification and optimization tool which comprise of the stacked ensemble, deep learning architectures and combines conventional approaches based on the chemical space (AI-dependent predictive model derived from standard ligand information for respective targets) and protein space (target structure information collection and artificial intelligence dependent model extracted from the interaction pattern of target protein-ligand complexes).

awesome-portfolio-websites

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

c-programming-hackerrank

all the C programs for hackerrank

car-detection-open-cv-

class-diagram

data_structure

Algorithms implemented in python

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

disaster-management-

model that predicts flood

distance-detetcor-

dsa-hacktoberfest2022

DSA Hacktoberfest2022

dsa_trees

dsa_trees-1

Solution to DSA Trees Hackerrank

er-diagram

entity relationship diagram for accident detector project

hacktoberfest2022

for the participants of HacktoberFest Event 2022 to win and receive the swags (win a T-Shirt or plant a tree).

hacktoberfest2022-1

Hacktoberfest 2022 OPEN FIRST Pull Request - FREE T-SHIRT🎉

hacktoberfest2022-python

This is an open source repository where the users can add any python script that works perfectly

hacktoberfest2022_for_beginers

Hacktoberfest2022🥳 - Contribute given programs in every language😎 you want, every PR will be accepted😍!!!

hearthealthpredictor

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set

image_processing_basics

Basics of image processing using python

isro-iirs-

internship at isro iirs

knee_oseoarthritis_detection

learning_react

leetcode-questions

Most interview tagged Leetcode questions

leetcode_300days

leetcode 300 days challenge

machine-learning-hacktoberfest2022

This repository accepts contributions for HacktoberFest 2022.

machine_learning_in_python

machine_learning_models

THIS FILE CONTAINS beginner level coding of basic machine learnign models like SVM, Random Forest, XG_Boost in R.

matplotlib

matplotlib: plotting with Python

my-website-

porfolio website

n-queens-problem