Name: Mayank Kumar Prajapati
Type: User
Company: IIT (ISM) Dhanbad
Bio: Competitive Programmer,
Aspiring Software developer , having strong foundation of Machine Learning and Deep Learning.
Location: Bangalore, Karnataka, Gwalior
Mayank Kumar Prajapati's Projects
This is a personal challenge to create mini projects in React, for 30 days in a row.
Understanding All ▲lgorithms
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
Course Files for Complete Python 3 Bootcamp Course on Udemy
Implementation of All ▲lgorithms in C++ Programming Language
This repository contain links to get started with building your first project.
Cheat Sheets
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Make your first open source contribution this Hacktoberfest!
Personal github experiment repository
This machine learning project was aimed to create a classifier for classifying Sarcasm statements
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube
Codes of all quizes
code for least squared error
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
An android app which enables the blind people to get information about their surroundings. The app identifies the objects which are pointed by the camera and on tapping the object (or bounding box surrounding the object), a voice is generated identifying the object and thus delivering an idea about the location of the object to the user. It uses the ssd_mobilenet_v1 architecture for object detection. The model is saved as a .tflite file in the assets folder along with the labels
classification of spam email using NLTK library and naive bayes
Prediction of Stock prices using ML and DL techniques
A document to help undergraduates keep track of software engineering internship opportunities.
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
A Tic Tac Toe game using python
crud using vanilla node.js