Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk thr…

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

Kickstart AI through Machine Learning and Deep Learning Projects (20+)

A repository of resources for understanding the concepts of machine learning/deep learning. 

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

Samples of EDA(Exploratory Data Analysis) with python pandas

A Perfect Repository For Data Anaysis with Jupyter Notebook.:chart_with_upwards_trend::chart_with_downwards_trend:

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

Exploratory Data Analysis and Price Predictions for Avocado Dataset based on Machine Learning

Data Visualization With Seaborn

This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course

Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.

A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python

Fbref is a popular football stats/metrics site which collections information from Ted Knutson's StatsBomb. You can save this data in a csv or excel format. This is a Python module which collects any raw csv file from Fbref and plot the data based on whichever two axes you want it to. You can also scrape data from whichever Fbref page you wish to.

This repository contains the collection of Python and Javascript (Observable Notebook) projects made for the DTU Data Science course 02806: Social Data Analysis and Visualizations

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

This Repository contains the data analysis of Book crossing dataset with a machine learning implementation

The most famous competition over the kaggle .

Data Visualization in Python using Matplotlib, Seaborn and Plotly Express