Karma of Humans is AI

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

This repository contains introductory notebook for logistic regression

If you liked my analysis, pls upvote my notebook!

This notebook describes how to compute and derive insights from various classification evaluation metrics.

Implements a genetic algorithm to select the most impactful features in a dataset to improve classifier performance. Written in Jupyter Notebook using pandas, numpy, scikit-learn. Results displayed with accuracy, precision, recall, F1 score comparison to using all features.

PSO feature selection improves classifier performance. Implemented in Jupyter Notebook with pandas, numpy, scikit-learn. PSO done from scratch. Results compared using accuracy, precision, recall, F1 score. Improves results compared to using all features. Can be applied to various classification problems.

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.

Este notebook abrange todas as etapas essenciais, desde o pré-processamento e análise exploratória até a implementação e avaliação de modelos de aprendizado de máquina voltados para doenças cardíacas.

This notebook tested the performance of the following scikit-learn models: Logistic Regression, Multilayer Perception, Naive Bayes, KNN, and Random Forest Classifier in classifying whether a person has thyroid or not based on the dataset provided. Each model’s performance has been evaluated using the F1 Score. NOTE: This notebook was used for a …

Classify Heart Attack dataset using 3+ ML models and perform Exploratory Data Analysis for insights. Preprocess data, apply majority voting for final prediction, aim for accuracy & F-score over 65%. Use Numpy, Pandas, Sklearn, Matplotlib. Final report & insights on methodology & results expected. Run code in Jupyter Notebook.

Predicting the Contraceptive Method Choice of a Woman Based on Demographic and Socio-economic Characteristics - The objective of this study is to to predict the contraceptive methods (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics. A data-set of 1473 married women with the…