Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.
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Updated
Mar 17, 2023 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.
A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
This is the machine learning I have done in The University of British Columbia
Analysis of Contraceptive Discontinuation using machine learning
Predicting house prices in California using machine learning techniques.
Football Prediction Model
In this project, five different machine learning (ML) models are trained and compared in term of predicting the early-stage diabetes. A data collected in hospital Frankfurt, Germany containing 2000 patients’ information have been used in this study. RF, NB, SVM, KNN, and LR are the five models used for predicting the diabetes.
Practical Approach to AI (example testing)
Using Machine Learning to predict the likelihood of a loan default using a loan data set obtainable from Kaggle. I employed Classification for the building the machine learning models as the target variables were binary, 0 and 1 representing no default and defaulted.
Prediction of optimum number of clusters using K-Means Clustering on Iris dataset
This is a machine learning model to predict the survival in titanic disaster.
Study exercises for learning machine learning algorithms
This is Machine Learning Beginner level Project. In this Project We can Predict fire in forest based on some features.
Projects on Machine learning using classification and regression techniques
A repository of machine learning projects
Machine Learning Using Python & Sci-Kit Learn
Machine Learning for Economics (Sogang University, 2022-2)
Best practices for solving Machine Learning Multilabel Classification problems
This project involves training two different machine learning models(Logistic Regression, Random Forest Classifier) in order to detect and classify breast cancer as benign(B) or maliant(M).