Pinned Repositories
AIPND-Exercises
AsyncTaskPractice
blog
cpp
dj4e-projects
Communicate about projects related to the Django Courses
DJ4E_Solo_homework
django for everybody L32 Solo simple homework
geek_time_vim
Vim configuration for Geek Time
Guide-to-Mathematical-Notation
Becoming "Wikipedia proficient"
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
RedShift006's Repositories
RedShift006/dj4e-projects
Communicate about projects related to the Django Courses
RedShift006/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
RedShift006/AIPND-Exercises
RedShift006/AsyncTaskPractice
RedShift006/blog
RedShift006/cpp
RedShift006/DJ4E_Solo_homework
django for everybody L32 Solo simple homework
RedShift006/geek_time_vim
Vim configuration for Geek Time
RedShift006/Guide-to-Mathematical-Notation
Becoming "Wikipedia proficient"
RedShift006/ice
Imooc_ice
RedShift006/Imooc_FrontEnd_Learing_Code
RedShift006/intro-py-project-classify-pet-images
udacity-python AI intro, first project Learned more.
RedShift006/Intro-to-Self-Driving-Cars
Intro to Self-Driving Cars-Udacity Notes & Code
RedShift006/Legacy-Edge-Launcher
Get back to Microsoft Edge Legacy as simple as possible!
RedShift006/Linear-Algebra-for-Machine-Learning-and-Data-Science
Notebooks and notes from going through Deeplearning.AI's linear algebra course
RedShift006/markmind-data
markmind data
RedShift006/python_practise
Geek time learning python course practise
RedShift006/qmsolve
⚛️ A module for solving and visualizing the Schrödinger equation.
RedShift006/Sell_Hungry
Imooc_vue_饿了么
RedShift006/ShengHuaNews
RedShift006/SingleFile_Articles_Backup
SimpleRead_Articles_Backup
RedShift006/templateMsg
微信小程序下发模板消息
RedShift006/Ud-ISDC-SelfDrivingCarSimulation
Udacity Intro to Self-Driving Car Nanodegree Project : Joy Ride (Simple Self-Driving Car Simulation)
RedShift006/udacity_cs101
Udacity_cs101_Code
RedShift006/Udacity_IntroToSelfDrivingCarsNd
My solutions, projects and experiments of the Udacity Introduction to Self-Driving Cars Nanodegree (October 2017 - December 2017)
RedShift006/Udacity_Python_Codes
Intro to Computer Science
RedShift006/udacitymatrixclass
Implementing a Matrix Class In this project you will implement a Matrix class in Python. Specifically, you will implement the following methods: class Matrix: def determinant(self): # your code def trace(self): # your code def inverse(self): # your code def transpose(self): # your code # Overloaded operators def __add__(self,other): # your code def __sub__(self,other): # your code def __mul__(self,other): # your code When your class is working properly you will be able to manipulate matrices in code as if they were regular numbers (for the most part). For example: > A = Matrix([ [2,4], [3,1] ]) > print( A.transpose()) 2.0 3.0 4.0 1.0 > > I = Matrix([ [1,0], [0,1] ]) > > print(A*I) 2.0 4.0 3.0 1.0 > > print(A * A.inverse()) 1.0 0.0 0.0 1.0 Project Instruction Your project workspace will contain several files. On the next page, you will see something like this: notebook screenshot We recommend that you open all of these files in new tabs (except datagenerator.py and test.py, which you won't need to modify) so that your browser looks something like this: jupyter multiple tabs matrix.py - This contains the beginnings of a Matrix class (which you will complete) as well as some helper functions zeroes and identity. This is the file you will be doing most of your work in. matrix_playground.ipynb - A notebook that imports your Matrix class and calls the test code. You may find it useful to use this notebook as a place to use the matrix math code you will write in matrix.py. matrix_cheat_sheet.ipynb - A Jupyter notebook with a glossary, explanation of matrix notation and list of matrix equations. Use this as a reference when filling out the methods in the Matrix class! kalman_filter_demo.ipynb - You don't need to do anything with this notebook but you may find it interesting. Once your matrix class is working properly, the KF implemented here will actually work! Other Files (feel free to ignore). test.py - Contains test code which demonstrates the expected functionality of your code. datagenerator.py - this just contains some helper code which is used by the Kalman Filter.
RedShift006/Udcity_AI_Python_Intro_Practise
Learning Code and some notes, thx Udacity!!!
RedShift006/VideoSplash
RedShift006/Vue.D3.tree
Vue component to display tree based on D3.js layout.