Visualization using Matplotlib and Seaborn libraries

Heart Attack Prediction Using Machine Learning Algorithm

Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.

Project during College utilizing Python with database and matplotlib -> made on November 21, 2021

Data Visulaization practice codes from my DV Lab course. There are different libraries that i've used in these practices including pandas,matplotlib,seaborn and plotly e.t.c to visualize data.

This is my first Data Science project with python language, My project I use lionel messi statistic to make a data analysis by using the number of doors as a measurement and analysis.

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.

BookFlow: Streamline Your Library Experience BookFlow is the ultimate library management system for students and teachers. Effortlessly borrow, return, and explore a vibrant book catalog. Powered by Python and Matplotlib, and with secure JSON data storage, BookFlow offers a smart, secure, and user-friendly way to manage your reading journey.

Análise temporal e projeção da expectativa de vida no Brasil usando dados públicos do Banco Mundial, com visualização em gráficos e previsões baseadas em regressão linear.

Project : Analysis of Diwali sales for finding the target customer their occupation and the category which generate large amount of sales .

Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

This project involves the analysis of two datasets: a portfolio dataset containing information about loan portfolios, and a communication history dataset containing information about communication interactions with customers. The aim of the project is to gain insights into customer behavior and loan portfolio trends.

Conducted in-depth data analysis on a Netflix dataset using Python and the Pandas library. Explored the dataset to understand the distribution and characteristics of TV shows and movies available on Netflix until 2021.

Welcome to the Data Visualization Course repository by Muhammad Sheraz. This repository is your go-to resource for mastering the art of data visualization. Whether you're a beginner, a data enthusiast, or a professional in the field, this course is designed to enhance your skills and proficiency in creating impactful visualizations.

This GitHub repository contains code for a student performance prediction model utilizing linear regression. The model is built using relevant student data features and implements one-hot encoding for categorical variables. The repository includes data preprocessing, model training, evaluation, and prediction visualization using matplotlib.

The objective is to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions and to understand if the spending habits differ between male and female customers.

Which variables are significant in predicting the demand for shared electric cycles in the Indian market and How well those variables describe the electric cycle demands

1st year master degree list of works about image analysis and process, done with Suliac Lavenant

ML-Data-Prep-and-Polish🛠️📊 Welcome, mastering the art of data preprocessing! 🚀 Overview This is a collection of Python and Jupyter Notebooks designed to handle datasets with finesse. Whether you're a data enthusiast, aspiring data scientist, or seasoned analyst, this repository is your companion for exploring the art of data Pre-Processing.