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…

• UpdatedDec 9, 2022
• Jupyter Notebook

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.

• UpdatedAug 24, 2021
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In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

• UpdatedFeb 11, 2024
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Kickstart AI through Machine Learning and Deep Learning Projects (20+)

• UpdatedDec 14, 2024
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A repository of resources for understanding the concepts of machine learning/deep learning. 

• UpdatedJul 24, 2021
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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.

• UpdatedOct 16, 2023
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Samples of EDA(Exploratory Data Analysis) with python pandas

• UpdatedJul 19, 2023
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A Perfect Repository For Data Anaysis with Jupyter Notebook.:chart_with_upwards_trend::chart_with_downwards_trend:

• UpdatedSep 28, 2021
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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.

• UpdatedFeb 4, 2020
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Exploratory Data Analysis and Price Predictions for Avocado Dataset based on Machine Learning

• UpdatedJun 8, 2023
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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.

• UpdatedSep 20, 2021
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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

• UpdatedJun 16, 2020
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Data Visualization With Seaborn

• UpdatedOct 2, 2020
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A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python

• UpdatedFeb 2, 2025
• Python

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

• UpdatedOct 6, 2024
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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

• UpdatedAug 16, 2020
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A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.

• UpdatedAug 26, 2021
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Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

• UpdatedNov 17, 2021
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The most famous competition over the kaggle .

• UpdatedAug 22, 2019
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Data Visualization in Python using Matplotlib, Seaborn and Plotly Express

• UpdatedDec 28, 2021
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