[Assignment] 영상처리2019 - YUV420 파일의 압축 손실량의 제곱의 루트값 계산하기

Predict user rating for a netflix movie.

Linear Regression is where it all starts - it is the basic statistical model approach which can be used fro building a basic predictive model for predicting a continuous target eg, sale price , salary , etc. Linear regression is the supervised learning algorithm - supervised means where we have defined dependent and independent variables, in sim…

Predicting House Prices using Linear Regression Model

Aplikasi melakukan perbandingan antara 2 image dengan menggunakan RMSE

2021년(제2회) NH투자증권 빅데이터 경진대회 본선 진출

Taxi demand forecasting for the next hour , given historical data, as well as calendar signs, previous values, and a moving average.

Regression detection in time series data

Repo where different methods for price regression are used (supervised machine learning)

Multiple randomized ANN are being generated that is being taken from user input(total number of ANN) then we have approached one of the nature-inspired-algorithms such as DIFFERENTIAL-EVOLUTION(DE) on a soil-content-dataset to prove that it has better prediction and optimising values other than some well defined algorithms such as SUPPORT-VECTOR…

Extended Kalman Filter / Sensor Fusion Project

Flight fare Prediction end-to-end project

Inspecting the Boston Housing dataset from sklearn and predicting the housing prices using linear regression.

Applied Least Square, Ridge and Lasso regression models to predict the number of comments a blog post will receive

Implementing Deep Learning model on Structured data & model optimization using Hyperparameter Tuning.

Study project for Yandex Practicum

Supervised Machine Learning algorithms for Regression in R and Python

Compute the root mean squared error (RMSE) incrementally.

To explore supervised machine learning

Regression algorithms to predict the minimum temperature