Getting Started with Machine Learning - Machine Learning Tutorial for Beginners
Learn to build a machine learning model for diabetes prediction using data manipulation, visualization, and exploratory analysis with Python libraries like pandas, NumPy, Matplotlib, and scikit-learn.
Build a Face Mask Detector with Watson and Python
Learn to create a face mask detector using Watson Visual Recognition, Python, and OpenCV. Capture images, visualize detections, and train custom object detection models in this hands-on tutorial.
Getting Started with Machine Learning - What is Machine Learning
Comprehensive introduction to machine learning, covering data manipulation, visualization, exploratory analysis, and model building using Python libraries and the Diabetes dataset.
Machine Learning Basics - Machine Learning for Beginners
Comprehensive introduction to machine learning basics, covering key concepts, data manipulation, visualization, and model building using Python libraries and real-world datasets.
Machine Learning with Python - Python for Data Science and Machine Learning
Comprehensive tutorial on NumPy, Pandas, and data visualization tools for Python-based machine learning, covering array operations, data manipulation, and creating statistical graphics.
Arduino with Python - Graphing and Plotting Live Data from Arduino with Matplotlib
Learn to graph real-time Arduino sensor data using Python and Matplotlib. Master data streaming, processing, and visualization techniques for temperature and pressure readings from a BMP180 sensor.
Arduino with Python - Simple Introduction to Matplotlib
Learn to create basic plots and graphs using Matplotlib in Python, including data visualization, customization, and array generation techniques.
Data Analysis on Datasets, Seaborn and Matplotlib Plots
Learn data analysis techniques using Seaborn and Matplotlib, exploring various datasets and creating informative visualizations to gain insights from real-world data.
Effective Data Visualization
Learn advanced data visualization techniques using Python libraries to effectively communicate complex data across various fields, from choosing plots to aesthetic decisions.
From Spreadsheets to DataFrames
Learn to transition from spreadsheets to Python DataFrames, exploring web scraping, data processing, analysis, and visualization using popular libraries like Pandas and Matplotlib. Gain skills for efficient data management and problem-solving.
Effective Data Visualization
Mastering data visualization: from choosing plots to preprocessing datasets. Learn to effectively communicate data using Python libraries like seaborn, matplotlib, and plotly. Covers density estimation, dimensionality reduction, and interactive plotting.
Animating NFL Play by Play Data Using Matplotlib's FuncAnimation
Learn to create engaging data animations using matplotlib's FuncAnimation() with NFL play-by-play RFID data. Discover how animations enhance analysis, convey complex information, and build context in data visualization.
Charlas - Laura Gutiérrez Funderburk: Reduciendo prejuicio en la inteligencia artificial
Aprende a identificar y reducir sesgos en modelos de IA para salud usando Python. Explora técnicas de evaluación de datos, entrenamiento de modelos y optimización con Fairlearn para mejorar la equidad en las predicciones.
Charlas - Ana Cecília Vieira: Análisis exploratorio de datos abiertos para el fortalecimiento de...
Aprende análisis exploratorio de datos abiertos usando Pandas y Matplotlib en Python. Descubre el nivel de transparencia de datos en América Latina y cómo aplicar la ciencia de datos en la práctica.
Getting Started with Object-Oriented Programming Through Signals and Waves
Explore object-oriented programming by modeling signals and waves, covering inheritance, delegation, magic methods, and the Iterator Design Pattern in Python.
Three Musketeers - Sherlock Holmes, Mathematics and Python
Explore how mathematics and Python can be used to solve crime mysteries, inspired by Sherlock Holmes. Learn to apply statistical concepts and Python libraries to tackle forensic puzzles and hypothetical cases.
Exploring Eco Topics with Python
Learn to apply Python skills to pressing environmental issues, using tools like numpy, pandas, and matplotlib to analyze deforestation, wildlife trade, and carbon pollution data.
Statistics 101 for System Administrators
Python for sysadmins: Analyze system data using statistics, scipy, and matplotlib. Learn to parse logs, calculate distributions, find correlations, and create informative plots to quickly identify performance issues.
Getting More Out of Matplotlib with GR
Enhancing Matplotlib performance with GR framework for high-speed data visualization, real-time applications, and improved 3D rendering. Explore interoperability with GUI toolkits and OpenGL.
Multibody Simulation Using Sympy, Scipy and Vpython
Explore multibody simulation using Python packages sympy, scipy, and vpython for engineering and educational purposes. Learn to formulate mechanical problems and integrate equations.
Python in Astronomy
Explore Python's role in modern astronomy, from data analysis to visualization. Learn about AstroPy and see real-world applications in astronomical research and computation.