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dafululiu's Projects

abtesting icon abtesting

Papers and Resources on running A/B Experiments

adv-r icon adv-r

Advanced R programming: a book

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

all-programming-e-books-pdf icon all-programming-e-books-pdf

A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts

alphalens icon alphalens

Performance analysis of predictive (alpha) stock factors

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

banking_term_deposit_subscription_logistic_regression icon banking_term_deposit_subscription_logistic_regression

Banks typically call a prospective client with an offer of attractive interest rates through directed marketing campaigns to get them into term deposit subscriptions. This repository describes the development and identification of a model that can explain the odds of success of a contact based on several explanatory variables related to each contact.

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

client_subscribe_for_product_or_not icon client_subscribe_for_product_or_not

This repo deals about a very basic approach for ML Classification algorithm.The data provided contains details of direct marketing campaigns of a banking institution. The marketing campaigns were based on phone calls. Often, multiple contacts were required to be made to the same client to successfully sell the product(bank term deposit). You are required to build a​ binary classification Machine Learning model​ that will predict(yes/no) if a client will subscribe to the product, given his/her demographic and marketing campaign related information.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

ddia-references icon ddia-references

Literature references for “Designing Data-Intensive Applications”

direct-mail icon direct-mail

Develop machine learning model to improve the cost-effectiveness of direct marketing campaigns

direct-marketing icon direct-marketing

Data mining techniques to build customer profile models on predicting their subscription in the most recent campaign

ds-take-home icon ds-take-home

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

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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