There are 4 repositories under seaborn-plots topic.
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 through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
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.
A repository of resources for understanding the concepts of machine learning/deep learning.
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 Perfect Repository For Data Anaysis with Jupyter Notebook.:chart_with_upwards_trend::chart_with_downwards_trend:
Samples of EDA(Exploratory Data Analysis) with python pandas
Exploratory Data Analysis and Price Predictions for Avocado Dataset based on Machine Learning
Data Visualization With Seaborn
A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python
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.
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
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.
Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.
The most famous competition over the kaggle .
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
Leave your regressions behind 🙈 and Let's #makeIThappen with Data Science ⚡
Simple yet powerful header-only c++ library for plotting using Python and ZeroMQ
Project on Ant Colony Optimization applied to the Flow Shop Problem
This Repository contains the data analysis of Book crossing dataset with a machine learning implementation
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.
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
機器學習基礎教學
This repository contains machine learning projects and materials for demonstrate various machine learning techniques.
During this Online Coding Internship, I have worked on projects related to Data Analytics and Machine Learning.
Movie Data Analysis-We will get to know complete movie information with a small hint only.
Python's crash course for data scientists
Samples for Azure Databricks Orientation
Application of various text classification algorithms on multiple datasets.
IoT sensor temperature analysis and prediction with IBM Db2 Event Store
This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.
Metro Interstate Traffic Volume
Welcome to my GitHub repository! Here, you will find an exciting collection of my machine learning and AI projects. As a passionate data scientist and AI enthusiast, I am constantly exploring and experimenting with cutting-edge techniques to solve real-world problems.
Predicting coronary heart disease(CHO) in 10 yrs.