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shengchen12's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

a-b-testing icon a-b-testing

A France-based users company have a much higher conversion rate in Franch then in any other Frenchspeaking country. The solution was to have one translation written by a local, aiming to improve the conversion rate However, based on the test the localized translation was doing worse

ads-analysis icon ads-analysis

Recommendation system: Identify top 5 ad campaigns out of 40 in the dataset. Provide recommendations to improve the performance

airbnb icon airbnb

Project analyzing Airbnb Rental data

beyond-leetcode-sql icon beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

ds-take-home icon ds-take-home

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

e-commerce-conversion-funnel-analysis icon e-commerce-conversion-funnel-analysis

Aim of the Assignment The aim of this assignment is to analyze the users and page views dataset from an eCommerce company and provide recommendations to the product team to boost the sales. This project also aims to find out if there are any issues with the dataset used for the assessment.

gmaps icon gmaps

Google maps for Jupyter notebooks

leetcode icon leetcode

:pencil: Python / C++ 11 Solutions of All 434 LeetCode Questions

nyc-taxi-data icon nyc-taxi-data

Import public NYC taxi and for-hire vehicle (Uber, Lyft, etc.) trip data into PostgreSQL database

pandas-videos icon pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

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