Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app…

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

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.

This repository contains jupyter notebook and other resources made by me during learning Data Science

Image processing examples with Numpy, Scipy, and Scikit-image

This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.

Samples of EDA(Exploratory Data Analysis) with python pandas

In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

Udemy Jose Portilla Python for Data Science and Machine Learning Bootcamp

Resources for teaching & learning practical data visualization with python.

NumPy fundamentals for tensor computation; Matplotlib for data visualization

You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a go…

Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program

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.

Como obter os dados históricos e analisar ações da bolsa utilizando o Pandas

To visualize function call flow for a C/C++ program using gdb and python

Data Analyst Nanodegree - Data Visualization project

Using a GA to find a solution to the traveling salesman problem (TSP).