sophield Goto Github PK

default-payment-prediction

To predict how likely a person will default the payment based on historical data by using Machine Learning algorithm.

fuel-efficiency

Analyze more than 10 millions sensor data from trucks, predict miles per gallon by using three kinds of Machine learning algorithms.

income-prediction

To predict future earn by given age by using Machine Learning algorithm Polynomial Regression

make-cities-greener

This project is to analyze Oslo City Bike historical trip data, in order to gain insights on riders behaviour, station usage, popular routes. The goal is to help bike management and operation to improve bike sharing system efficiency and accessibility, indirectly help the city become greener.

marketing-a-b-test

To analyse 3 promotions run in a chain of department store by using ANOVA, to help marketing team to know which promotion was the most effective in generating sales.

plagiarism-detector-with-sklearn-and-sagemaker

Build and Deploy a binary classification model as a plagiarism detector

sales-prediction

To predict how much sales will be made depends on how much spend on advertising channel by using Machine Learning algorithm Linear Regression.

sentiment-analysis-web-app-with-pytorch-and-sagemaker

Sentiment Analysis Web App with RNN model by using Pytorch in AWS SageMaker

sophield

Config files for my GitHub profile.

starbucks-capstone-project