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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

analysis-and-optimization-of-drone-delivery

This project is aimed to assist the company, HELP, Inc. to improve the aerial disaster relief response system and satisfy their requirements of delivering pre-packaged medical supplies and providing high-resolution aerial video reconnaissance.

appplication_identity_fraud_project

Developed a machine learning model to identify fraudulent credit applications, with a Fraud Detection Rate of 56.12% at 3% of the population. The resulting model can be utilized in a credit card fraud detection system.

automated-vehicles-self-interest-driving-strategies

The project proposed automated vehicle driving strategies based on reinforcement learning.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

books

"我的阅历"

card-transaction-fraud-identification

This project will be focusing on identifying and predicting card payment fraud in the purchasing process by building a data-driven machine learning algorithm. The overall goal of the project is to find the most effective and efficient statistical analysis model to predict and identify card transaction fraud.

coding-interview-university

A complete computer science study plan to become a software engineer.

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)

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-interviews

Data science interview questions and answers

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

dsci_553

USC :v: 2020 Spring DSCI 553 (Foundations and Applications of Data Mining) 数据挖掘基础与应用 Score: :nine::four:

dso-560-nlp-and-text-analytics

Course repository for Spring 2020 DSO-560: Natural Language Processing and Text Analytics at USC Marshall

dso-560-nlp-text-analytics-spring-2021

Course repository for students enrolled in DSO560: Text Analytics and Natural Language Processing for the Spring 2021 Semester at USC.

dso_560_nlp_project_2021_black

Partner with Behold to develop a recommendation system that is based on the retail fashion brand’s brand descriptive information.

dstakehomechallenges

My practice for DS Take Home Challenges.

humana_2020_case_competition

Humana-Mays Healthcare Analytics 2020 Case Competition

king-s-hawaiian-marketing-project

The project identified what times throughout the year were the highest driver of sales, which marketing campaigns returned the most volume sales and determined the priority order of the marketing tactics for King’s Hawaiian by exploring its internal recent five years’ data (EDA), developing regression models in Python and presenting findings with several dashboards, thus allowing King's Hawaiian to optimize its marketing spend

learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等

leetcode

:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-sql-summary

*Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.

liyue34673.github.io

lux

Python API for Intelligent Visual Data Discovery

machine-learning-nodes

《机器学习》-周志华（西瓜书）是一本了解机器学习知识比较全面的一本书。今年求职算法岗位时针对部分章节内容进行了整理和总结，并对其中的数学公式进行了手工推导。在此记录下自己的学习笔记。