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Name: yongqi

Type: User

yongqi's Projects

big-data-analysis-of-road-crash-data-using-pyspark-with-pyspark-tutorial

In this repository, I will be sharing data about road crashes in South Australia and jupyter files to explain PySpark and try to do small Data Analysis using parallel computing with a brief overview of PySpark concepts. Those jupyter files will demonstrate parallel computing using three types of data structures: RDDs, PySpark DataFrame, SparkSQL.

california_house_price_prediction

Performing EDA and then building a pipeline to handle data cleaning, imputation, scaling, encoding and transformation. The final aim is to build a strong model which can accurately predict the house prices of California.

genetic_algorithm

使用遗传算法求解TSP和mTSP

kk_my_code

采样率

predict-bike-sharing-need-in-metropolitan-area

In this project, we are interested in exploring machine learning approaches to predict the demands for bike sharing based on relevant data such as weather, season, holiday, etc, which are known to influence the demands for bike renting. The aim is to build statistical learning models that can predict how many bikes are required in a particular area at a particular time, and identify the major factors that affect the bike demand.

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