This is a Malware Detection ML model made using Random Forest Algorithm

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application

Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.

ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.

Halo! Selamat datang di repository ku. Ini adalah model klasifikasi gagal jantung yang mempunyai akurasi sebesar 89% dengan algoritma Bagging! -Final Project H8

Machine Learning models for helping BNP Paribas Cardif accelerate its claims process

Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.

Used different types of machine learning classifiers such as Passive Aggressive, Extra Trees, Dummy Classifier to detect the DDos attack and compared the accuracies of the classifiers to determine the best out of the three.

🌱 A React Native app that classifies soil using ResNet50 and recommends Fertilizers via ExtraTreeClassifier. Backend hosted on Hugging Face.

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150.

This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid

🚀 Developed a Python-based ML model for SMS and Email spam detection using NLP. Achieved high accuracy and precision! 📧🤖🔍 #MachineLearning #NLP #SpamDetection

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

Modelo em IA que classifica se um cogumelo é ou não venenoso

In this project, we design a robust activity recognition system based on a smartphone.

The model will detect whether you are actually the detected one or not.