navnikum Goto Github PK

followers: 5.0 following: 88.0 repos: 61.0 gists: 0.0

Name: Navnit Kumar

Type: User

Bio: Impossible is nothing!

Location: Mumbai, INDIA

Blog: https://navnikum.github.io/

Navnit Kumar's Projects

100days

This repo track my progress for the 100 day challenge Till 27 Dec'22 starting from 19 Sept'22 for upcoming Exams

awesome-courses

:books: List of awesome university courses for learning Computer Science!

bingwallpaper

A python script which automatically updates desktop wallpaper on a Linux machine from bing.com (image for the day)

classification-of-hyperspectral-image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Data Lit is is a 3 month course designed to help absolute beginners become proficient in Data Science. Each week offers lessons on Data Science fundamentals applied to real-world problems that Data Scientists help solve. After completing this course, start applying for jobs, doing contract work, start your own data science consulting group, or just keep on learning. Remember to believe in your ability to learn. You can learn data science, you will learn data science, and if you stick to it, eventually you will master it. This course starts on January 28,2019. We’re building many, many lectures for each week, expect this curriculum to get much more detailed before the course starts. Sign up now! Components 2 Projects (1 Midterm + 1 Final) 1 Weekly assignment Course Length 12 Weeks 10-15 hours per week Certification Students who successfully complete the course will receive their own certificate signed by Siraj Raval. Tools Used Python, SQL, Tensorflow, Hadoop, MapReduce, Spark, GitHub

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deeplearningspecialization

deeplearning.ai - Andrew Ng's Full Specialization course on Coursera

dimensionality-reduction-and-classification-on-hyperspectral-images-using-python

In this repository , You can find the files which implements dimensionality reduction on hyper spectral image(Indian Pines) with classification.

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.