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Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Matplot3D for java. It is a library for drawing 3D plot
Explore my Machine Learning repository featuring a House Price Predictor project. Leveraging advanced algorithms, this project predicts house prices based on various features like location, size, amenities, and market trends. Dive into the world of predictive analytics and gain insights into the dynamic real estate market.
Final project of Data Structures and Algorithms course at AUT.
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.
LazyXSS is a tool that can help you scan for reflected XSS, LFI without any effort.
simple neural network with simple project
This is 100+ python projects where you can find most popular libraries are used
The project simulates very famous mathematical algorithm known as conways game of life
This projects aims to generate musical overtones using Karplus-Strong algorithm.
This project uses the employee_churn_trimmed.csv which contains data on employees who quit or stayed at their jobs, to uncover what could be causing churn in the company or org and thus present these insights and findings using matplotlib and seaborn visualization plots and Displaying the Outputs in a Structured way using an interface(Website).
A fire spread stochastic approach to modeling wildfires using cellular automata concepts
A Machine Learning end to end project where the objective is to predict the risk of Diabetes in regular individuals, given the data about the health of the person.
A Python-based pipeline to process and transform Excel data into structured formats, enabling smooth integration into databases and other systems for analysis and reporting.
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
Explorando as notas do ENEM de 2018 tal como análise sobre o gabarito x acertos x erros e criando um Machine Learning para adivinhar as notas.
Analyze Diwali Sales Data to improve customer experience and sales.
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
Scientific Computing for Chemists Jupyter Book
This project uses EDA techniques to analyse the most famous songs of 2023 as listed on Spotify. What they are and what it would take to join thier ranks.
This repository contains a comprehensive analysis of Beijing housing data, including data cleaning, categorical transformation, outlier removal, feature engineering, and advanced visualizations. The analysis focuses on understanding price trends, the impact of location, and district-level insights from 2010 onwards.
renewable Energy Data Visualization using data provided by https://ourworldindata.org/renewable-energy
Designed and implemented a sophisticated computer vision system for real-time sign language detection using OpenCV and Tensor Flow, facilitating communication accessibility for individuals with hearing impairments.
Exploration, visualization, and predictive analysis of Muesli order process data.
Performed data cleaning for movies.csv on kaggle.com. Find and analyse which variables have the highest correlation coefficient to determine what leads to a high gross profit. Tools: Pandas Lib, NumPy, Seaborn, Matplotlib, SAS.
Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.
Банк провел маректинговую компанию на срочные депозиты. Требовалось проанализировать их и понять как можно улучшить ее. Данные: https://www.kaggle.com/datasets/gauravduttakiit/bank-telemarketing-campaign-case/data
This repository showcases my data analysis skills through projects in Excel, Power BI, and Python. See how I leverage diverse tools for cleaning, visualizing, and interacting with data!
This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.
Brain Tumor Segmentation using Deep learnign Models UNET+EffeicienNet B7