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lwm20002000's Projects

biopesticide_startup_ms icon biopesticide_startup_ms

Market Segmentation analysis was done on Indian agricultural datasets to identify the best region and state for a Biopesticide startup to enter into the market in regards to their first release. Different factors were analysed through data visualisation and clustering for the company to make a choice based on their products.

bri_testing_with_gravity_model icon bri_testing_with_gravity_model

Testing if being a Belt and Road Initiative member country makes a difference in trade volume using gravity model data in neural networks

china-economic-policy-uncertainty icon china-economic-policy-uncertainty

This site host the data and graph in the paper "Economic Policy Uncertainty in China Since 1949: The View from Mainland Newspapers." by Steven J. Davis, Dingqian Liu and Xuguang (Simon) Sheng

china-s-easily-overlooked-monetary-transmission-mechanism-real-estate-monetary-reservoir icon china-s-easily-overlooked-monetary-transmission-mechanism-real-estate-monetary-reservoir

While the traditional monetary transmission mechanism usually uses the equity and capital markets as monetary reservoirs, due to China's unique fiscal and financial system, the real estate sector has become China's 'invisible' non-traditional monetary reservoir for many years. Firstly, based on the perspective of the real estate sector as a monetary reservoir, this paper constructs a dynamic general equilibrium model that includes fiscal investment and financing and uses Chinese housing market data as well as central bank data on refinancing rates to financial institutions and GDP data for parameter estimation. We reveal the laws of the monetary transmission mechanism of the monetary reservoir-fiscal financing investment: Firstly, there is a commitment to pay and the existence of government utility. Secondly, local governments have an incentive to carry out credit expansion and investment and also financing operations through money pool assets, and there is a financing effect when the tax return on fiscal investment is higher than fiscal financing. Thirdly, the bubble effect is greater than the financing effect and it will push the monetisation of fiscal deficits when the financing effect is greater than the bubble effect and then the economic growth masks the credit expansion of local governments. In order to address the problem of monetary transmission mechanism under the perspective of real estate monetary reservoir, this paper carries out the design of a de-bubble financing mechanism for monetary reservoir assets.

citadel-datathon-summer-2020 icon citadel-datathon-summer-2020

Final product from a Citadel Datathon that analyzes how the London 2012 Olympics affected the host's economy and how this wealth was distributed. Awarded 3rd place.

cnn-lstm-prediction icon cnn-lstm-prediction

使用CNN-LSTM模型对天气数据进行分析,从而预测发病率。The CNN-LSTM model is used to analyze the weather data and predict the incidence rate.

co2emissionseconomic icon co2emissionseconomic

Plotly graph comparing USA and China CO2 economic emissions. Used to help me write a research paper.

comah-sites icon comah-sites

Basic demonstration of clustering with 2 spatial features - longitude and latitude

commonlit-readability icon commonlit-readability

Can machine learning identify the appropriate reading level of a passage of text, and help inspire learning? Reading is an essential skill for academic success. When students have access to engaging passages offering the right level of challenge, they naturally develop reading skills. Currently, most educational texts are matched to readers using

covid-19-impact-prediction-in-developing-countries icon covid-19-impact-prediction-in-developing-countries

By analaysing a data from different provinces of China, I predity how significant Covid-19's imact would be in developing countries with low income and low life expectancy. This project is done in spring of 2020 the early stages of covid-19 pandemic.

credit-default-prediction---random-forest icon credit-default-prediction---random-forest

The goal of the project is to predict whether a given customer defaults or not. Credit default is one of the most important problems in the banking and risk analytics industry. There are various attributes which can be used to predict default, such as demographic data (age, income, employment status, etc.), (credit) behavioural data (past loans, payment, number of times a credit payment has been delayed by the customer etc.).

cyclone_deeplearning icon cyclone_deeplearning

Revisiting cyclone forecasting with innovations in deep learning via Convolutional LSTM and Transformer models

data-literacy-seminar-21-22 icon data-literacy-seminar-21-22

Notebooks zur Exploration eigener digitaler Spurdaten für das Seminar "Digitale Mediennutzung und Data Literacy" (HHU Düsseldorf, WiSe 2021/2022)

data_analytics_finance2-bank_loan-_deploy.ipynb icon data_analytics_finance2-bank_loan-_deploy.ipynb

Perform Exploratory Data Analysis finance bank loan Analysis, check if there is skewness in data or not, visualize Skewness by distribution, How Age of a person is going to be a factor in availing loan ? Does Income of a person have an impact on availing loan ? Does the family size makes them to avail loan. Number of persons in the family has significant impact on availing Personal Loan or not?

dataevaluationml icon dataevaluationml

The source code for IEEE Transactions on Reliability paper "Data Evaluation and Enhancement for Quality Improvement of Machine Learning"

datos-covid19 icon datos-covid19

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