A simple Flask application for data preprocessing, visualization and classification
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Updated
Apr 12, 2021 - Python
A simple Flask application for data preprocessing, visualization and classification
Interactive ML web application will allow users to choose classification algorithm, let them interactively set hyper-parameter values, and Input Image.
Created a web app, that predicts the type of flower using Iris Dataset by the University of California, Irvine
A machine learning model after detailed image processing applications that classifies a bee as either honey bee or bumble bee
Dari dataset tersebut akan mengklasifikasi kualitas pencemaran udara berdasarkan kategori perhitungan indeks standar pencemaran udara. Dimana dataset Indeks Standar Pencemaran Udara (ISPU) Tahun 2021 yang didapatan dari website Jakarta Open data dengan link: https://data.jakarta.go.id/dataset/indeks-standar-pencemaran-udara-ispu-tahun-2021
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
Python project for Banknotes Analysis.
Titanic Survivor Analysis and Prediction
Contains nongraded challenge during FTDS Batch 001-Phase 1 at Hacktiv8
Built machine learning algorithms (Decision Tree Classifier, Random Forest Classifier & Support Vector Classifier) to best predict the credit card approval.
Face Recognition with SVM, starting from basics
This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.
This mini-project involves experimenting with a variety of classification and regression models, exploring different techniques to understand their behaviors and applications in predictive analytics.
Real or Fake Job Prediction classifier
In this data analysis project, I will explore the application of Principal Component Analysis (PCA) to reduce the dimensionality of a dataset and enhance the performance of a machine learning model.
Identification of the Employees who are most likely to switch the jobs for package negotiations & Job offerings. Also, Analyzing the particular departments where the attrition rate is high and to take the preventive measures by using Decision Tree Classifer, Random Forest Classifier, Support Vector Classifier, Logistic Regression, K Nearest Neig…
This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.
This repository provides a cancer classification model using Support Vector Classifier (SVC). The model aims to classify cancer cases into benign or malignant based on various features obtained from medical examinations.
Predictions for the English Premier League season
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