1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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Updated
Jul 16, 2024 - Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A solver for Actorle, the daily actor guessing game
Data Science Feature Engineering and Selection Tutorials
A supervised classification machine learning approach to forecasting the road as safe (label 1) or dangerous (label 0) for driving in the arctic regions. If the friction is 0 <= x < 0.5 then we labeled it as 0, either 1 in the range 0.5 to 1.
This Project is a Simple Content-Based Song Recommendation System. It suggest similar item to the user based on the content the user provide.
pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!
App that make data anlaysing and model building easy , and provides the summary of your data
This application creates an ML model by inputing your dataset and also gives you the Exploratory Data Analysis
Creating a web app using AutoML and Streamlit.
Pandas profiling component for Streamlit.
Used Gaussian Naive Bayes Classifier and XG Boost Classifier for Credit Card Fault Detection
This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.
Generating EDA with the help of Pandas Profiling Module
VisuVerse is an innovative and user-friendly Data Analysis and Data Visualization WebApp developed using Streamlit.
This web application is build with python streamlit and this repository helps perfrom EDA(Exploratory Data Analysis ) using pandas-profiling library in python . This web application also helps to analys the target variable using it modelling functon
Create an ML pipeline for Genre Classification using MLflow.
Build an ML Pipeline for Short-Term Rental Prices in NYC
AutoML simplifies ML with Streamlit, Pandas Profiling, and PyCaret. Upload, analyze data, build models, and compare results effortlessly. Open-source. No coding hassle.
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