[Assignment] 영상처리2019 - YUV420 파일의 압축 손실량의 제곱의 루트값 계산하기
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Sep 17, 2020 - C++
[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
Implemented ordinary least squares regression from scratch in python by computing root mean square error and coefficient estimates
A movie recommendation system on MovieLens 25M dataset using Python and Apache Spark
Repo where different methods for price regression are used (supervised machine learning)
The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.
Product Recommender
Exploratory data analyzing of Global Financial Database and loan borrowing prediction using PySpark
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.
Using Root Mean Squared Error to evaluate performace of Kalman Filter
In this project, we will try to predict the total number of bikes people rented in a given hour using a data collected by Hadi Fanaee-T at the University of Porto. To accomplish this, we will create a few different machine learning models and evaluate their performance. ou can download the data from the University of California, Irvine's website.
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