There are 1 repository under mathplotlib topic.
my python mini projects as part of the complete python Pro Bootcamp for 2023 - 100 Days of Code course
Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection and Storage (PostgreSQL), Business Analytics, Making Business Decisions Based on Data (Hypotheses testing), How to Tell a Story Using Data (Presentation and Data Visualization - Maplotlib, Seaborn, Plotly), Automation (Dash, Tableau), Forecasts and Predictions, 2 Integrated projects.
My projects for Data Analysis course by Yandex Praktikum
end-to-end solution for cursor detection and motion analysis
🎭 Storyteling for Data Science and Artificial Intelligence - PUC-SP University
This repository contains an exploratory data analysis (EDA) project focused on roller coasters. The project involved organizing, cleaning, and visualizing the data to gain insights into roller coasters' characteristics and performance.
This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!
A code repository designed to show the best GitHub has to offer.
projetos de Machine Learning usando google Colab
The GitHub bootcamp was organized to teach teenagers how to use this platform. We put this course project in this repository.
This is a small example of using Facebook's open-source algorithm for generating time-series models, with a dataset from yahoo finance.
This repository, created for an Operations Research module, contains scripts employing the Branch-and-Bound algorithm for linear optimization. Utilizing SciPy and Xpress libraries, the scripts solve and visually illustrate the optimization process, aiding in the understanding of the algorithm's application in Operations Research.
Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.
This git project contains programming excercises written in python for almost everything ranging from Solving Problems using Algorithms and Data structures, webscrapping, managing connectivity to db, ml and plotting graphs
Simple python library thats implemented EWMA, IIR and Average filter.
NBA Analytics (2015 - 2024): Player Statistics
PyQT6 project that parses, receives and processes data from Yahoo Finance
Software for counting points in team mathematics competitions
Python module for trajectory visualization. The module utilizes basemap or cartopy as a backgroup map and mathplotlib linecolections to plot the paths of the trajectories.
RoadPollutionPY is a visualisation tool to determine the effect different maximum speeds have on pollution created by wheeled vehicles - IPASS 2019/2020
The main objective of this project is to analyze and identify leaf diseases using image processing and machine learning. The project aims to help farmers and researchers by providing accurate disease detection, which can improve the quality and productivity of agricultural products.
The aim of this project is to measure the satisfaction while testing food products.
Interactive 2-DOF robotic arm simulator with real-time inverse kinematics, visualization, and math explanations—built with Python and Gradio.
AI‑DataScience‑Lab is a web app for uploading CSV datasets, cleaning with Pandas, and running quick exploratory analyses and regression models using scikit‑learn. Its modular design supports future AI extensions, like deep learning with TensorFlow or insight generation via the OpenAI API.
Checkout the behavior of battery at certain temperatures.
My practical work on programming on Python in the first year of study.
Data Boards - Visualization of various plots ( Analysis )
A program that finds the most efficient path through a crowd using a given image showing a top view of a large crowd.
Roadsense.AI refers to the process of categorizing road traffic accidents based on their severity.
This small project can import football results by using a webcrawler and analyse the data in flask.