To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
Cohort-Intelligence-for-Mathematical-Functions About Cohort Intelligence : Cohort Intelligence ( CI ) is an optimization technique. It attempts to mod
My own NumPy-based implementation of a multilayer perceptron (MLP). Several of its components can be tuned and played with, such as layer depth and size, hidden and output layer activation functions,
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid sym
SLAM-application: installation and test (3D): LeGO-LOAM, LIO-SAM, and LVI-SAM Tested on Quadruped robot in Gazebo â—Ź Results: video, video2 Requirement
(intron I nterrogator and C lassifier) intronIC is a program that can be used to classify intron sequences as minor (U12-type) or major (U2-type), usi
XGBoost-Ray is a distributed backend for XGBoost, built on top of distributed computing framework Ray.
FFT-accelerated Interpolation-based t-SNE (FIt-SNE) Introduction t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensi
Turns your machine learning code into microservices with web API, interactive GUI, and more.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics
SageMaker Python SDK SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the S
TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting
Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.
Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install
implementation of machine learning Algorithms such as decision tree and random forest and xgboost on darasets then compare results for each and implement ant colony and genetic algorithms on tsp map,
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started
BASTA: BAyesian STellar Algorithm Current stable version: v1.0 Important note: BASTA is developed for Python 3.8, but Python 3.7 should work as well.
Movie-Success-Prediction A simple python program which predicts the success of a movie based on it's type, actor, actress and director. The program us
Hand Crafted Models Simple linear model implementations from scratch. Table of contents Overview Project Structure Getting started Citing this project
1 Jan 11, 2022
2 Oct 25, 2021
1 Feb 10, 2022
2 Oct 06, 2022
203 Dec 26, 2022
4 Jul 26, 2022
92 Dec 14, 2022
547 Dec 21, 2022
2.8k Jan 02, 2023
4.1k Dec 29, 2022
1.8k Jan 01, 2023
131 Dec 12, 2022
2 Jan 18, 2022
3 Aug 04, 2022
1 Nov 29, 2021
1 Jan 19, 2022
3 Dec 16, 2022
16 Nov 15, 2022
1 Dec 17, 2021
2 Sep 13, 2021