nehcgnak Goto Github PK

best-practice-for-building-a-startup-in-delaware-with-tech-tools

美国华人技术创业的快速公司/银行/税务/投资操作白皮书

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

cs-ds-learning

d3tutorial

A d3 v5 tutorial

daily-coding-problem

Solutions to problems sent by dailycodingproblem.com

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

gitbook

计算机底层的秘密

hello-algo

《Hello 算法》是一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。

linkedin-skill-assessments-quizzes

Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

machine-learning-with-python

Python code for common Machine Learning Algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

mlops-zoomcamp

Free MLOps course from DataTalks.Club

mlops_zoomcamp_study

MLOps Study

nehcgnak001

neuralprophetexamples

This repo contains the example code used in my Medium article about NeuralProphet.

practical-programming-books

这里收录比较实用的计算机相关技术书籍，可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文，欢迎Fork，你也可以通过Pull Request参与编辑。

rosalind

My Rosalind solutions

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

starbucksassignment

In this project we evaluate the results of an A/B test to find a promotion strategy to better target customers and maximize the Incremental Response Rate and the Net Incremental Revenue.

svr

Introduction Support Vector Regression using the Boston Housing data set