Python implementation of Decision Tree Regression and Random Forest Regression. Efficient algorithms for predictive modeling. Ideal for regression tasks in machine learning.
-
Updated
Apr 13, 2024 - Jupyter Notebook
Python implementation of Decision Tree Regression and Random Forest Regression. Efficient algorithms for predictive modeling. Ideal for regression tasks in machine learning.
Predict sales prices and practice different machine learning regressors.
Neural network library in C++
Gradient Boosting prediction for the profit of 50 american startups
Intelligent systems Jupyter notebooks.
Exploring hybride learning prototype
Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model.
Data-Driven Price Prediction and Market Segmentation of Air BnB so both host and guest know about the price in the market.
国内基金数据获取及回归排名
Experimentation with Neural Networks, as well as recommender systems related to movies.
Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras
My Machine Learning course projects
Application and Evaluation of Genetic Algorithms on Decision Trees. A project for the course of Software Dependability at University of Salerno.
Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.
Python implementation of K-Nearest Neighbors (KNN) Regressor for regression tasks. Versatile algorithm for predicting continuous outcomes based on neighboring data points. Suitable for various machine learning applications.
Regression Analysis Utility
This repository is comprised of the Exploratory Data Analysis of the Body Fat data set from Kaggle. The feature engineering, hyperparameter tuning, and model training of the model. With comparative outlooks on the prediction vs actual results to understand and determine model accuracy.
Weather prediction with Gaussian Process Regression
A working forecasting model to optimize promotions and warehouse stocks of one of the most important European retailers
Add a description, image, and links to the regressor topic page so that developers can more easily learn about it.
To associate your repository with the regressor topic, visit your repo's landing page and select "manage topics."