Detection of Object-Based Forgery in Advanced Video
Laboratory works on Numerical Methods course
Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Performed linear regression and residuals analysis on college tuition fees and admission rate in R.
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
simple short stata program to residualize some variable on some other variables
Given features of car, training the model to predict the car price.
R package for residualizing covariates
A real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc
使用AIC准则进行参数选择，之后采用ARIMA模型进行时间序列预测，最后给出残差图。The AIC criterion is used to select the parameters, and then ARIMA model is used to predict the time series. Finally, the residual diagram is given.
Construção de um modelo de machine learning para prever com precisão a demanda de estoque com base nos dados históricos de venda do grupo Bimbo.
Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
In this notebook we would be learning how to check that whether there is intercacion between two dependent variables or not. After that we would consider or add that interaction variable into our regression model and will monitor the changes in the parametrs.
Predicting Delivery Time Using Sorting Time
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
Prediction of mid-career salary, considering data from students of different universities.
To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)
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