Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Last update: Nov 18, 2021

Overview

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Datasets Used: Iris dataset, Breast Cancer Dataset and Wine Dataset from UC Irvine Machine Learning Repository

Preview

Installation

You need these dependencies:

pip install streamlit
pip install scikit-learn
pip install matplotlib

Usage

Clone the repository

git clone https://github.com/lionelsamrat10/Classification-Visualization.git

Go to the project directory

cd Classification-Visualization-main

Run

streamlit run main.py

Owner

Samrat Mitra

Aspiring Data Scientist | Community member @EddieHubCommunity, @web3community, @Collective | Research interest in Deep Learning and Computer Vision, NLP

GitHub Repository https://deploy-app-st-sam.herokuapp.com/

Code for the TCAV ML interpretability project

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Martin Wattenberg, Justin Gilmer, C

552 Dec 27, 2022

A simple python program that draws a tree for incrementing values using the Collatz Conjecture.

Collatz Conjecture A simple python program that draws a tree for incrementing values using the Collatz Conjecture. Values which can be edited: Length

1 Oct 28, 2021

LightGBM + Optuna: no brainer

AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin

22 Dec 15, 2022

Nixtla is an open-source time series forecasting library.

Nixtla Nixtla is an open-source time series forecasting library. We are helping data scientists and developers to have access to open source state-of-

401 Jan 08, 2023

Library of Stan Models for Survival Analysis

survivalstan: Survival Models in Stan author: Jacki Novik Overview Library of Stan Models for Survival Analysis Features: Variety of standard survival

122 Jan 06, 2023

A game theoretic approach to explain the output of any machine learning model.

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo

18.2k Jan 02, 2023

Both social media sentiment and stock market data are crucial for stock price prediction

Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy ba

15 Oct 29, 2022

Course files for "Ocean/Atmosphere Time Series Analysis"

time-series This package contains all necessary files for the course Ocean/Atmosphere Time Series Analysis, an introduction to data and time series an

107 Nov 29, 2022

A Tools that help Data Scientists and ML engineers train and deploy ML models.

Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers

73 Oct 17, 2022

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

TensorFlowOnSpark TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from the T

3.8k Jan 04, 2023

The Simpsons and Machine Learning: What makes an Episode Great?

The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit

1 Nov 02, 2021

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. Solve a variety of tasks with pre-trained models or finetune them in

227 Dec 10, 2022

My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to

1 Oct 28, 2021

Machine Learning University: Accelerated Natural Language Processing Class

Machine Learning University: Accelerated Natural Language Processing Class This repository contains slides, notebooks and datasets for the Machine Lea

2k Jan 01, 2023

Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

216 Dec 23, 2022

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

TensorFrames (Deprecated) Note: TensorFrames is deprecated. You can use pandas UDF instead. Experimental TensorFlow binding for Scala and Apache Spark

757 Dec 31, 2022

The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid

25 Nov 27, 2022

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Related tags

Overview

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Preview

Installation

Usage

Owner

Samrat Mitra

Code for the TCAV ML interpretability project

A simple python program that draws a tree for incrementing values using the Collatz Conjecture.

LightGBM + Optuna: no brainer

Nixtla is an open-source time series forecasting library.

Library of Stan Models for Survival Analysis

A game theoretic approach to explain the output of any machine learning model.

Both social media sentiment and stock market data are crucial for stock price prediction

Course files for "Ocean/Atmosphere Time Series Analysis"

A Tools that help Data Scientists and ML engineers train and deploy ML models.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

The Simpsons and Machine Learning: What makes an Episode Great?

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

Machine Learning University: Accelerated Natural Language Processing Class

Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language

This repo includes some graph-based CTR prediction models and other representative baselines.

Basic Docker Compose for Machine Learning Purposes