Heart Attack Prediction Using Machine Learning Algorithm

This is a Breast Cancer Detection project with unsupervised learning algorithmic approaches alongside Naive Bayes Classifier Algorithm, Logistic Regression and GaussianNB.

Heart Failure Prediction by developing various Supervised Learning algorithms in Python

logistic regression from scratch using python to solve binary classification problem using breast cancer dataset from scikit-learn. A complete breakdown of logistic regression algorithm.

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

Security tool that scans URLs and predicts if they are malicious or not, based on a Logistic Regression algorithm.

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Code from scratch and using Scikit-learn for various ML algorithms

Logistic Regression_Python

In the following work a simple structured perceptron is shown, the libraries used are numpy for the matrix operations, maplotlib to obtain the graphs. The input must approach the chosen target, which is a logic gate. I hope it is useful

This is an experiment on text classification using different supervised learning classifiers and their variants conducted on the Reuters-21578 dataset. The aim is to evaluate the best performance for each of the classifiers by properly tuning the parameters of each classifier so that the least error is recorded during the classification.

人工智能检测恶意URL

Implementation of some basic machine learning algorithms, few of them from Cousera's Deep Learning specialization

A Machine-Learning Model for Fake-news-Detection

Logistic Regression from Scratch using Gradient Descent

Predicted the outcome of 2018 IPL matches using the Random Forest machine learning algorithm with an accuracy of 71%, which was greater than the accuracy of Logistic regression and SVM algorithm.

a vectorized binary logistic regression implementation in python.

A simple Logistic regression classification to identify whether an email is spam or not spam built using python and scikit learn