DheerajKumar97 / Automated-ML-Application-for-EDA-Streamlit-Deployment--HerokuLinks
This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analys…
☆29Updated 2 years ago
Alternatives and similar repositories for Automated-ML-Application-for-EDA-Streamlit-Deployment--Heroku
Users that are interested in Automated-ML-Application-for-EDA-Streamlit-Deployment--Heroku are comparing it to the libraries listed below
Sorting:
- The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfyi…☆17Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 5 years ago
- The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-l…☆30Updated 6 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆96Updated 2 years ago
- Microservice creation and Machine Learning Model Deployment using FastAPI☆117Updated 3 years ago
- Build an interactive web app with streamlit and scikit-learn☆119Updated last year
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentati…☆128Updated last year
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆79Updated 3 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆69Updated 6 years ago
- ☆48Updated 2 years ago
- Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business pro…☆64Updated 2 years ago
- Data Analysis of Job Postings on Glassdoor.☆41Updated 3 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆27Updated 4 years ago
- Streamlit Web App to predict the onset of diabetes based on diagnostic measures☆35Updated last year
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆154Updated 2 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 4 years ago
- End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.☆70Updated 2 years ago
- ☆25Updated 3 years ago
- Architecture of Streaming Twitter Data into Apache Kafka cluster, performing simple sentiment analysis with afinn module, storing the dat…☆20Updated 5 years ago
- ☆13Updated 4 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆15Updated 6 years ago
- ☆33Updated 3 years ago
- Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"☆96Updated 2 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- ☆70Updated last year
- Book Projects☆24Updated 4 years ago
- Solved end-to-end machine learning projects☆35Updated 2 years ago
- Lending Club Data Loan Default Prediction☆57Updated 2 years ago