This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
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Updated
May 5, 2024 - Python
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
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A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
Part of the Hydrosphere.io project.
This dataset is used to detect the credit card fraud detection. This is a classification problem. This is an imbalanced dataset based on target variable. So In this Project, I will use encoding and decoding techniques to balanced dataset.
Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook
Customer Segmentation using Clustering (Machine Learning)
A Regression based ML model for prediction of car prices in market
Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.
Titanic Survival Prediction using Logistic Regression
Machine Learning Project
Awesome papers on Machine Learning and Statistical Models
This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
Machine Learning Project
Machine Learning Project
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
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