Use plain Python to implement classic(basic) machine learning methods from scratch | CSCE633
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Updated
Jun 22, 2022 - Jupyter Notebook
Use plain Python to implement classic(basic) machine learning methods from scratch | CSCE633
The goal of this problem is to predict the Price of an Old car based on the variables provided in the data set.
LINEAR REGRESSION
This project focuses on forecasting cryptocurrency prices to aid in investment decisions, risk management, and market understanding. It aims to enhance predictive models for digital asset markets, providing more reliable insights for investors and traders.
It will predict the SGPA of a student on the basis of marks obtain in Internal Theory and Lab, External Theory and Lab along with the total number of backs and UFM cases.
In this project, we tried to predict the prices of other houses according to the values of these features with the model we obtained by training a data set containing some features and prices of real houses with linear regression and decision tree regression methods
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