Search results for python seaborn

124 search results found

For a better scientific drawing pipeline in MATLAB 😀 or Python

An invaluable resource for businesses aiming to optimize strategies and enhance customer satisfaction. Analyze customer attributes, purchase history, and preferences to make data-driven decisions.

Xgboost_churn_analysis ⭐ 7

Telecommunication Company Churn Project

Machine Learning ⭐ 7

Fundamentals & projects

Global Stock Price Archive ⭐ 7

A comprehensive dataset that provides a historical record of stock prices from a wide range of stock markets across the globe. This dataset is a valuable resource for researchers, investors, and analysts seeking to analyze trends, perform financial research, or develop trading strategies.

Coffee Chain Sales ⭐ 7

Explore valuable insights into the performance of a coffee chain across various locations, including key attributes such as Area Code, COGS, Profit, Sales, and more. Dive into sales trends, financial performance, and market dynamics.

Analyzing Consumer Behaviour ⭐ 7

This analysis delves into the fascinating world of retail data to unlock valuable insights for businesses. Market Basket Analysis is a powerful technique that allows retailers to understand customer behavior, identify item associations, and offer personalized recommendations.

Msis_2629_exercises ⭐ 6

Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University

Python Lec ⭐ 6

Guia práctica de Python para el Laboratorio de Estadística Computacional.

Data Science Salary Estimator ⭐ 6

Data Science Project using Scraped GlassDoor Datasets for Salaries of Data Scientists. Building Tools & Models for MAE to analyze different salary groups

Yelp Dataset Classification ⭐ 6

Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017

Introduction To Data Analyst And Data Science ⭐ 6

Introduction to Data Analyst and Data Science for Beginners

Concrete Compressive Strength Prediction ⭐ 6

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Pet_projects ⭐ 6

🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.

80 Day With Python ⭐ 6

80 Days of Code The Complete Python Pro Bootcamp for 2022

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Ysmr ⭐ 6

Bacterial video tracking & analysis

Python For Data Science And Machine Learning Bootcamp ⭐ 6

Udemy course - Python for Data Science and Machine Learning bootcamp

Wine_quality ⭐ 6

This project focuses on analyzing datasets provided by Blueberry Winery, a portuguese wine producer company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.

Python Tutorial ⭐ 6

Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.

Machine Learning Projects ⭐ 6

Machine Learning Development Projects

Hgwxx7 ⭐ 6

Data Science, Machine Learning, Natural Language Processing, Deep Learning, Quantum Information Processing, Quantum Computing

Python Image Preview ⭐ 6

VSCode Extension : Python Image Preview

Market Basket Analysis On Food Items ⭐ 5

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

Career Track Data Scientist With Python ⭐ 5

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

Datacamp Projects ⭐ 5

Data Camp Python Projects

Technocolab Final Project ⭐ 5

Final project made during my internship in Technocolabs.

Datacamp_projects ⭐ 5

🏰 Проекты, сделанные на ресурсе DataCamp (Python, R, SQL). Ссылка: https://app.datacamp.com/learn

Ipl Analysis ⭐ 5

The aim of the project is to analyze the previous year's IPL data to get some interesting insights.

Bydevmar__youtube ⭐ 5

Your one-stop repository for BYDEVMAR's educational content. Access exam corrections, practical work, tutorials, and courses to boost your understanding. Subscribe to BYDEVMAR on YouTube for in-depth learning.

Academy Course Dat31048 ⭐ 5

Supporting material for the Open Risk Academy course "Exploratory Data Analysis using Pandas, Seaborn and Statsmodels"

Diabetes Classification ⭐ 5

Modelo de previsão de diagnóstico de diabetes utilizando machine learning.

Mini Project ⭐ 5

Mini-Projects in Master's (Big Data & Data Analytics) at Manipal University

Sales Analysis ⭐ 5

Using Python Pandas Library to Analyze Sales Data

Seaborn Tutorial ⭐ 5

seaborn tutorial

Tencent Spark Program Tutorial ⭐ 5

Python_tutorials ⭐ 5