Machine Learning with Python and Scikit-Learn
Aprenda a aplicar machine learning com Python e Scikit-learn para investimentos, explorando algoritmos supervisionados e não supervisionados, incluindo SVM, KMeans e Mean Shift.
Data Analysis with Python 3 and Pandas
Learn Python data analysis using Pandas: visualization, grouping, correlation, dataset merging, and machine learning with Scikit-learn for practical data science skills.
Machine Learning with Scikit-Learn
Hands-on introduction to machine learning using Scikit-Learn and Python, covering key algorithms, preprocessing techniques, and feature selection for practical implementation.
CBW's Machine Learning Workshops May 25-26, 2021
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
Scikit-Learn
Learn to implement machine learning solutions using Scikit-learn, covering installation, algorithms, applications, advantages, and hands-on Python demos for data-driven decision-making.
Machine Learning in Python With Scikit-Learn
Comprehensive guide to scikit-learn for machine learning in Python, covering model training, selection, evaluation, and text processing. Ideal for beginners and intermediate users.
Even More Python for Beginners - Data Tools
Comprehensive guide to Python data science tools: Jupyter, Anaconda, Pandas, Scikit-learn, and Matplotlib. Covers data manipulation, model training, and visualization for beginners.
Python Career Options in 2021 - Python for Different Job Roles
Explore Python's versatility in web scraping, development, game creation, and machine learning. Learn about career options, salary trends, and future prospects for Python professionals.
Machine Learning Tutorial Python - Machine Learning for Beginners
Comprehensive tutorial covering machine learning basics, algorithms, and projects using Python libraries. Includes deep learning, neural networks, and advanced topics for beginners to intermediate learners.
Data Analytics with Python
Learn data analytics using Python, covering preprocessing, visualization, machine learning algorithms, and practical examples. Gain skills to analyze datasets, make predictions, and compete on Kaggle.
Read CSV Files, Extract Dataset Scikit Learn & Simulate Data Using Python - Machine Learning
Learn to extract data from CSV files and databases, use scikit-learn for dataset manipulation, and simulate various types of machine learning data in Python.
From Data to Dashboard - Make an Interactive Model
Learn to create an interactive dashboard from raw data using Python. Master data cleaning, exploration, modeling, and visualization techniques for real-world data science projects.
Train and Evaluate Classification Models
Train and evaluate classification models using Scikit-Learn. Learn binary classification, logistic functions, thresholds, and performance metrics for effective machine learning categorization.
Introduction to Image Processing Using Scikit-Image in Python
Learn essential image processing techniques using scikit-image in Python, including resizing, edge detection, and segmentation for microscopy-based assays like wound healing.
Pln Python Procesamiento De Lenguaje Natural
Aquí trateremos todo lo relacionado con PLN en PYTHON (Procesamiento del Lenguaje Natural) en la Inteligencia Artificial (IA) y el Machine Learning.
Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event
Explore Scikit-Learn's evolution, technical aspects, and future with core contributor Thomas Fan. Gain insights into open-source collaboration, industry applications, and machine learning advancements.
Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning
Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.
Python for Data Science - Data Science Tutorial - Python Tutorial
Learn Python for data science: versatile programming, complex problem-solving, and real-world applications. Covers key concepts, tools, and techniques with hands-on examples and expert guidance.
PyScript Tutorial: Machine Learning with Scikit-Learn - Training and Interactive Prediction
Create interactive machine learning app with PyScript: upload CSV, train models, and make predictions using Pandas, Panel, and Scikit-Learn.
Building Your First Machine Learning Model and Model Validation - Day 9
Learn to build and validate your first machine learning model using scikit-learn. Explore techniques for handling large datasets, selecting features, and evaluating model performance through hands-on exercises.
Coding Up a Linear Regression Algorithm From Scratch - Build Linear Regression From Python
Advanced Python tutorial on implementing Linear Regression from scratch, covering object-oriented programming, vectorized operations, and efficient coding strategies. Bridges theory and practice for experienced data scientists.