KOR: 개인 프로젝트. 머신러닝을 통해 테니스 선수 랭킹 예측. ENG: A personal project. Predicts rankings of tennis players using linear regression, decision tree regressor and random forest.
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Updated
Jun 17, 2021 - Python
KOR: 개인 프로젝트. 머신러닝을 통해 테니스 선수 랭킹 예측. ENG: A personal project. Predicts rankings of tennis players using linear regression, decision tree regressor and random forest.
This repository contains a comprehensive analysis and predictive modeling project for the National Iranian Gas Company. The project aims to explore gas consumption data, identify patterns and anomalies, and predict future consumption trends using various statistical and machine learning models.
Predicting using Decision Tree Regressor and Random Forest Regressor
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University
Predicting breast cancer survival using machine learning models
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
A decision tree implementation from scratch using Python, NumPy and pandas for four cases of real/discrete features/output.
Exploring the impact of socioeconomic indicators on hardship in Chicago neighborhoods using machine learning. Leveraging Linear Regression, Decision Tree, random forest, and Agglomerative Clustering, the project identifies key factors—unemployment, lack of a high school diploma, and poverty—highlighting disparities in the dataset from 2008-2012
Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.
Determining the Sales of Audi Cars across whole Europe by comparing the specifications as well as the price of some bestselling Models.
Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb
Explorando as notas do ENEM de 2018 tal como análise sobre o gabarito x acertos x erros e criando um Machine Learning para adivinhar as notas.
A project aimed at predicting variables of interest within the dataset.
This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
Data Analysis and Machine Learning
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…
The overall objective of this project is to critically analyze and develop the relationships of quantitative factors affecting life expectancy in 193 countries between 2000 and 2015 that underlie changes in life expectancy. The importance of predicting life expectancy arises because of its important role as an indicator of the overall health.
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