syimii Goto Github PK
Name: Syimi
Type: User
Bio: Thesis: Machine Learning Application in Predicting Malaysian Stock market through RSI and MACD indicators
Location: Malaysia
Syimi's Projects
adult-s-income-per-year-using-data-mining
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.
bisection-method-the-root-finding-method-in-numerical-analysis
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-making-in-purchasing-house-new-house-or-subsale-using-cba
Decision of a purchase depends on affordability of the house, its neighbourhood, location from important venues such as office, school, and groceries store.
feasibility-of-a-recycling-plant
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.
internal-corrosion-pipeline-in-an-oil-refinery-plant-in-malaysia
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.
medicare-inpatient-hospital-records
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
the-volumetric-reserves-of-hydrocarbon-reservoirs-monte-carlo
Analyzed quantitative datasets and applied the risk assessment in the estimation of volumetric reserves of hydrocarbon reservoirs various techniques such as Monte Carlo simulation.
type-of-flow-in-the-pipes-channel-reynolds-number
Identify the type of flow in pipes or channels based on the Reynolds Number
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