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Name: Syimi
Type: User
Bio: Thesis: Machine Learning Application in Predicting Malaysian Stock market through RSI and MACD indicators
Location: Malaysia
Name: Syimi
Type: User
Bio: Thesis: Machine Learning Application in Predicting Malaysian Stock market through RSI and MACD indicators
Location: Malaysia
Analyzed income of adults using machine learning algorithms includes data preparation of the extracted dataset and random test the most suitable classification model in determining the pattern of the data.
Finding the depth x to which the ball is submerged under water using the bisection method which is the root-finding method in numerical analysis.
Decision of a purchase depends on affordability of the house, its neighbourhood, location from important venues such as office, school, and groceries store.
Determine the feasibility of a recycling plant, a random sample of 240 households was drawn, and the weekly weight of newspapers discarded for recycling for each household was recorded.
Implemented machine learning algorithms to classify the types of alarm of corrosion in the pipeline. The performance of each model was compared and analyzed using Accuracy and Confusion Matrix.
Data Analysis of Medicare inpatient hospital records Medicare inpatient hospital records as maintained by the Health Care Financing Administration (HCFA) in Baltimore, Maryland using Logistic Regression
Analyzed quantitative datasets and applied the risk assessment in the estimation of volumetric reserves of hydrocarbon reservoirs various techniques such as Monte Carlo simulation.
Identify the type of flow in pipes or channels based on the Reynolds Number
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An Open Source Machine Learning Framework for Everyone
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China tencent open source team.