For generating plots from Fortran using Python's matplotlib.pyplot 📈
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Updated
Aug 17, 2024 - Fortran
For generating plots from Fortran using Python's matplotlib.pyplot 📈
Learn to use Support Vector Machines in Python(sklearn) and R
🎦A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using Python, including an alert system built using telegram for alerting concerned authorities, and all data stored neatly in cloud firestore🎦
Astus' Mathematical Display Application : A GUI for Mathematics (Calculator, LaTeX Converter, Plotter, ... )
Unsupervised machine learning using U.S. crime data and k-means clustering. Crime categories: murder, assault & rape in all 50 states in 1973.
graph charts, php, graph bars, histograms, graph lines, marks
Exercícios do curso "Profissao: Cientista de Dados", sendo realizado pela EBAC - Escola Britânica de Artes Criativas e Tecnologia.
Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.
real-time predictive options model - mathematical modeling
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
Predicting Upward and downward trends in the stock prices using Stacked LSTM.
Analytics and Charts for your fitness log exported from the Strong App (AppStore/PlayStore).
🏡 A model to predict the price of house based on property type.
Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."
Regression with Python & R.
A statistical learning analysis of some Portuguese students performance. Python 3.7.6. Dataset : http://archive.ics.uci.edu/ml/datasets/Student+Performance
This project aims to develop a solution for autonomous vehicle path planning in parking lots. The solution combines motion planning and collision avoidance algorithms to enable vehicles to navigate and park in tight spaces. A simulated world is created using a 2D grid, where different vehicle types are placed in a compact space.
Matplotlib. Pyplot written in PHP. Graphs charts, scatter, plot, lines, custom graphs
These problems relate to Jupyter, numpy, and pyplot. We will use the famous iris data set. Save your work as a single Jupyter notebook file in a GitHub repository. Include any required data files, a README, and a gitignore file in the repository.
Concise GPU and CPU iterative Stokes solver for viscous glacier flow.
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