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Answers to 120 commonly asked data science interview questions.
Papers on Computational Advertising
Training materials to deliver an API Product Owner training. The training follows a "learning by doing" methodology with big emphasis on students solving a realistic problem for the first time with the facilitation of an instructor. The training is split in modules with each module touching upon different areas of responsibilities for an API product owner.
:books: List of awesome university courses for learning Computer Science!
A list of product management resources, curated from 10 years of bookmarks.
A curated list of awesome resources for product/program managers to learn and grow.
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
Marketing Analytics
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
The Data Engineering Cookbook
Price analytics solution based on the double-machine-learning modeling approach
I use various Data Science and machine learning techniques to analyze customer data using STP framework. I preprocessed the data, performed segmentation, hierarchical clustering, k-means, PCA techniques with a lot of visualizations to segment and understand customer data. I have performed Purchase Analytics (both descriptive analysis and predictive analysis). Used deep learning to enhance my model.
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Data Engineering on Google Cloud Platform
Data Science Algorithms in a Week, Second Edition, published by Packt
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
Achieve your marketing goals with the data analytics power of Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Self-study plan to achieve mastery in data science
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.