QiaoXingLiYgrene

QiaoXingLiYgrene

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QiaoXingLiYgrene's repositories

Value-at-Risk

atoti notebooks gallery

License:Apache-2.0Stargazers:0Issues:0Issues:0

Audio-models

Models and examples built with TensorFlow

License:NOASSERTIONStargazers:0Issues:0Issues:0

cocalc-doc

cocalc user manaual

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

License:Apache-2.0Stargazers:0Issues:0Issues:0

Ecommerce-ML-algorithms-Dynamic-Pricing

Dynamic pricing of e-shop products through machine learning algorithms

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Credit-Risk-Modeling-in-Python

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

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Dynamic-Pricing

This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.

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