Tanishq Verma's Projects
100 Days of ML Coding
This repo consists of aditya verma youtube channel code for different section.
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
This repository includes all the interview preparation questions for Amazon SDE role
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Bitcoin Protocol Development Curriculum
Hello Programmers :computer: , A one-stop Destination✏️✏️ for all your Competitive Programming Resources.📗📕 Refer CONTRIBUTING.md for contributions
Contains Implementation of selected Data Structures and Algorithms which are important for the interview preparations
Data for practice
Data structure and Algorithm (DSA) contributions
Sharing my journey :purple_heart: of Dynamic Programming :dizzy: :fire: . This would not be possible without Aditya Verma's DP series :pray: :point_down: :point_down:
Guide for getting a gig as a tech student.
:zap: Dynamically generated stats for your github readmes
A robot powered training repository :robot:
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
CS50's Web Programming with Python and JavaScript
Everything you need to know to get the job
Kushal Das Portfolio
machine learning and deep learning tutorials, articles and other resources
A lot of analysis over existing systems in the health care industry considered only one disease at a time. For example, one system is used to analysediabetes, another is used to analyse diabetes retinopathy, and another system is used to predict heart disease. Maximum systems focus on a particular disease. When an organization wants to analyse their patient’s health reports then they have to deploy many models. The approach in the existing system is useful to analyse only particular diseases. In multiple diseases prediction system a user can analyse more than one disease on a single website. The user doesn’t need to traverse different places in order to predict whether he/she has a particular disease or not. In multiple diseases prediction system, the user needs to select the name of the particular disease, enter its parameters and just click on submit. The corresponding machine learning model will be invoked and it would predict the output and display it on the screen.
Dynamic realtime profile ReadMe linked with spotify