Python Tutorial with Generative AI for Beginners - Full Course 2024
Comprehensive Python tutorial covering basics to advanced topics, including OOP, data structures, algorithms, machine learning libraries, generative AI, automation, and GUI development.
PyCon US Lightning Talks - Diverse Python Topics and Experiences
Diverse lightning talks covering Python topics from low-level programming to career development, featuring insights on debugging, mentorship, NumPy 2, data storytelling, automation, and more.
Building and Optimization of Neural Networks from Scratch with NumPy
Master neural network development from ground up using NumPy, covering architecture design, propagation methods, and optimization techniques for building efficient deep learning models without frameworks.
Coding a Neural Network - Full Stack Deep Learning - Spring 2021
Code a neural network from scratch using Google Colab, NumPy, PyTorch, and Keras. Learn linear regression and multi-layer perception models through hands-on implementation and visualization.
JAX Crash Course - Accelerating Machine Learning Code
Accelerate machine learning with JAX: Learn NumPy-like operations on CPU, GPU, and TPU, automatic differentiation, and high-performance techniques for ML research in this comprehensive introduction.
ChatGPT Teaches Numpy - Python Numpy Tutorial
Comprehensive tutorial on NumPy: from basics to advanced concepts. Learn array creation, manipulation, mathematical operations, reshaping, and integration with Python data structures.
Forecast Any Mathematical Number Sequence with Regression - Machine Learning
Learn to generate and forecast mathematical number sequences using Python, pandas, numpy, and scikit-learn. Visualize data with matplotlib and apply regression models to predict future numbers in various function-based series.
Machine Learning Fundamentals with Python and R
Comprehensive introduction to machine learning fundamentals using Python and R, covering linear regression, data types, polynomial regression, and NumPy, with hands-on projects and practical applications.
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.
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.
Neural Network from Scratch - Machine Learning Python
Implement a neural network using Python and numpy, focusing on the coding aspects while building upon previously explained mathematical concepts.
Neural Network from Scratch with Python - Part 4
Implement a neural network using Numpy, learning to build deep learning models from the ground up without relying on high-level frameworks.
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.
Implementing a Neural Network From Scratch in Python
Step-by-step implementation of a neural network using Python and numpy, focusing on data representation and forward propagation for a Multilayer Perceptron.
Solving an Impossible Riddle with Code
Explore Python coding to simulate and solve the 100 prisoner riddle, comparing random and loop strategies through data visualization and network analysis.
Scaling NumPy Applications from 1 CPU to Thousands of GPUs - IPAM at UCLA
Discover cuNumeric: a NumPy replacement enabling Python applications to scale across multiple nodes and leverage GPU acceleration for enhanced performance and dataset handling.
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.
Jagged, Ragged, Awkward Arrays
Explore awkward-array, a Numpy extension for processing irregular datasets with jagged edges. Learn how it simplifies data analysis in particle physics and other fields using array programming paradigms.
Speed Up Data Access with PyArrow Apache Arrow - Data is the New API
Explore Apache Arrow's columnar memory format for fast, language-independent data access. Learn about PyArrow integration, performance benefits, and Apache Flight for analytics.
Interactive C++ - Meet Jupyter - Cling
Explore interactive C++ using Jupyter and Cling. Learn prototyping techniques, interface guidance, and powerful combinations for data science and exploratory programming.