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Showing: 83 courses

Machine Learning with Python and Scikit-Learn

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Aprenda a aplicar machine learning com Python e Scikit-learn para investimentos, explorando algoritmos supervisionados e não supervisionados, incluindo SVM, KMeans e Mean Shift.
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28 Lesons
8 hours
On-Demand
Free-Video

Data Analysis with Python 3 and Pandas

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Learn Python data analysis using Pandas: visualization, grouping, correlation, dataset merging, and machine learning with Scikit-learn for practical data science skills.
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6 Lesons
2 hours 30 minutes
On-Demand
Free-Video

Machine Learning with Scikit-Learn

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Hands-on introduction to machine learning using Scikit-Learn and Python, covering key algorithms, preprocessing techniques, and feature selection for practical implementation.
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12 Lesons
30 minutes
On-Demand
Free-Video
BioinformaticsDotCA

CBW's Machine Learning Workshops May 25-26, 2021

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Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
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7 Lesons
7 hours
On-Demand
Free-Video
Great Learning

Scikit-Learn

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Learn to implement machine learning solutions using Scikit-learn, covering installation, algorithms, applications, advantages, and hands-on Python demos for data-driven decision-making.
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9 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Data School

Machine Learning in Python With Scikit-Learn

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Comprehensive guide to scikit-learn for machine learning in Python, covering model training, selection, evaluation, and text processing. Ideal for beginners and intermediate users.
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11 Lesons
7 hours
On-Demand
Free-Video
Microsoft

Even More Python for Beginners - Data Tools

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Comprehensive guide to Python data science tools: Jupyter, Anaconda, Pandas, Scikit-learn, and Matplotlib. Covers data manipulation, model training, and visualization for beginners.
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31 Lesons
2 hours 31 minutes
On-Demand
Free-Video
Great Learning

Python Career Options in 2021 - Python for Different Job Roles

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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.
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15 Lesons
30 minutes
On-Demand
Free-Video

Machine Learning Tutorial Python - Machine Learning for Beginners

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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.
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87 Lesons
1 day 1 hour
On-Demand
Free-Video

Data Analytics with Python

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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.
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18 Lesons
2 hours 30 minutes
On-Demand
Free-Video
The AI University

Read CSV Files, Extract Dataset Scikit Learn & Simulate Data Using Python - Machine Learning

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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.
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3 Lesons
30 minutes
On-Demand
Free-Video
Data Science Dojo

From Data to Dashboard - Make an Interactive Model

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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.
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12 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Microsoft

Train and Evaluate Classification Models

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Train and evaluate classification models using Scikit-Learn. Learn binary classification, logistic functions, thresholds, and performance metrics for effective machine learning categorization.
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11 Lesons
1 hour 29 minutes
On-Demand
Free-Video
DigitalSreeni

Introduction to Image Processing Using Scikit-Image in Python

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Learn essential image processing techniques using scikit-image in Python, including resizing, edge detection, and segmentation for microscopy-based assays like wound healing.
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10 Lesons
37 minutes
On-Demand
Free-Video

Pln Python Procesamiento De Lenguaje Natural

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Aquí trateremos todo lo relacionado con PLN en PYTHON (Procesamiento del Lenguaje Natural) en la Inteligencia Artificial (IA) y el Machine Learning.
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14 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Open Data Science

Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event

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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.
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26 Lesons
51 minutes
On-Demand
Free-Video
Open Data Science

Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning

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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.
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30 Lesons
52 minutes
On-Demand
Free-Video
Great Learning

Python for Data Science - Data Science Tutorial - Python Tutorial

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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.
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21 Lesons
1 hour 7 minutes
On-Demand
Free-Video
1littlecoder

PyScript Tutorial: Machine Learning with Scikit-Learn - Training and Interactive Prediction

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Create interactive machine learning app with PyScript: upload CSV, train models, and make predictions using Pandas, Panel, and Scikit-Learn.
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1 Lesons
22 minutes
On-Demand
Free-Video
1littlecoder

Building Your First Machine Learning Model and Model Validation - Day 9

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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.
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22 Lesons
52 minutes
On-Demand
Free-Video
Data Science Dojo

Coding Up a Linear Regression Algorithm From Scratch - Build Linear Regression From Python

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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.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Snorkel AI

How to Create Data-Cleaning Auto-Pipelines With Python

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Develop automated data cleaning pipelines using Scikit-Learn to streamline data processing, reduce time spent on preprocessing, and enhance reproducibility in your data science projects.
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1 Lesons
26 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Introduction to Machine Learning with Python

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Explore machine learning fundamentals using Python, covering key concepts and practical applications in this hands-on workshop led by a field engineer from Domino.
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1 Lesons
1 hour 55 minutes
On-Demand
Free-Video
Open Data Science

Introduction to Python for Data Science

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Learn Python for data science: cleanse data, perform exploratory analysis, and build predictive models using pandas and scikit-learn. Ideal for beginners with basic Python knowledge.
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21 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Prodramp

Data Processing Fundamentals - Smarter Python Code With Classes

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Learn to write smarter Python code using classes for efficient data processing, including DatasetSelector and DatasetManager implementation with Scikit-learn integration.
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12 Lesons
28 minutes
On-Demand
Free-Video
Prodramp

Data Processing Fundamentals - Writing Smarter Python Code With Classes

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Learn to write smarter Python code using classes for efficient data processing, including creating custom classes, adding methods, and integrating Scikit-learn for dataset management.
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12 Lesons
32 minutes
On-Demand
Free-Video
sentdex

Unsupervised Machine Learning - Flat Clustering with KMeans with Scikit-Learn and Python

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Explore flat clustering with KMeans using Scikit-learn and Python. Learn to categorize unlabeled data into specified groups through hands-on coding and visualization techniques.
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9 Lesons
25 minutes
On-Demand
Free-Video
Great Learning

Python for Machine Learning - Machine Learning Tutorial for Beginners

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Learn Python for machine learning, covering key concepts, popular packages, and algorithms like linear regression and K-nearest neighbor. Gain practical skills for a high-paying career in this rapidly growing field.
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13 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen

Chemotools - Integrating Chemometrics and Scikit-Learn for Spectral Data Analysis

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Explore chemotools, a Python library unifying chemometrics and machine learning for spectral data analysis, streamlining model development and implementation in the scientific community.
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1 Lesons
54 minutes
On-Demand
Free-Video
Keith Galli

Real-World Python Machine Learning Tutorial With Scikit Learn

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Comprehensive Python machine learning tutorial covering sentiment analysis using scikit-learn, from data preparation to model evaluation and optimization, with practical examples using Amazon reviews.
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23 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Data Professor

Build Your First Machine Learning Model in Python

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Learn to build a machine learning model in Python using scikit-learn. Covers data loading, splitting, model building with linear regression and random forest, comparison, and visualization.
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11 Lesons
31 minutes
On-Demand
Free-Video
Prodramp

Forecast Any Mathematical Number Sequence with Regression - Machine Learning

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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.
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28 Lesons
36 minutes
On-Demand
Free-Video
Great Learning

Getting Started with Machine Learning - Machine Learning Tutorial for Beginners

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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.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Nicholas Renotte

Building a Machine Learning Python App for Deadlift Tracking - Coding Challenge

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Build a machine learning app to track deadlifts using Python, Scikit-Learn, MediaPipe, and Tkinter in this coding challenge. Learn to create a practical application combining ML and GUI development.
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1 Lesons
23 minutes
On-Demand
Free-Video
Nicholas Renotte

Deploying Machine Learning Models Online with Watson Machine Learning - Python Scikit-Learn

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Learn to deploy Scikit-Learn models to the cloud using Watson Machine Learning, enabling online access and integration with various programming languages in under 30 minutes.
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1 Lesons
29 minutes
On-Demand
Free-Video
Great Learning

Machine Learning Basics - Machine Learning for Beginners

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Comprehensive introduction to machine learning basics, covering key concepts, data manipulation, visualization, and model building using Python libraries and real-world datasets.
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34 Lesons
57 minutes
On-Demand
Free-Video
1littlecoder

Scikit-Learn Pipeline and Cross-Validation - Day 13 of 30 Days of ML

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Learn advanced machine learning techniques with Scikit-Learn, focusing on pipelines for organized code and cross-validation for improved model performance evaluation. Part of a 30-day ML challenge.
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1 Lesons
34 minutes
On-Demand
Free-Video
Data Science Dojo

Experiment Management for Machine Learning

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Explore best practices for managing machine learning experiments, addressing reproducibility, documentation, and code dependency issues to improve workflow efficiency and results.
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25 Lesons
1 hour
On-Demand
Free-Video
Rob Mulla

Complete Guide to Cross Validation

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Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.
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8 Lesons
30 minutes
On-Demand
Free-Video
Abhishek Thakur

What Are Decision Trees and How Do They Work - From Scratch

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Comprehensive guide to decision trees in machine learning, covering basics, implementation, and advanced concepts using real-world examples and scikit-learn comparisons.
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11 Lesons
50 minutes
On-Demand
Free-Video
Databricks

Tuning Machine Learning Models - Scaling, Workflows, and Architecture

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Automating and scaling ML model tuning using Hyperopt and Apache Spark. Best practices for workflows, architecture, and optimization in hyperparameter tuning for improved performance and accuracy.
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10 Lesons
24 minutes
On-Demand
Free-Video
Jeff Heaton

Neural Networks with Ensembles for TensorFlow and Keras

0 rewiews
Learn to create and evaluate ensemble models using random forests and deep neural networks with TensorFlow, Keras, and scikit-learn. Explore feature importance and perturbation ranking techniques.
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15 Lesons
24 minutes
On-Demand
Free-Video
Yacine Mahdid

Selecting the Right Cross-Validation Method in Machine Learning

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Learn to choose the right cross-validation method for your machine learning model based on data characteristics, including hold-out, k-fold, time-split, and group-fold techniques.
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7 Lesons
11 minutes
On-Demand
Free-Video
NorthSec

Data Science Way to Deal With Advanced Threats

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Explore data science methods for advanced threat detection in SOCs, combining unsupervised and supervised learning to reduce false positives and streamline anomaly triage using ML and interactive visualizations.
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1 Lesons
28 minutes
On-Demand
Free-Video
NorthSec

Python and Machine Learning

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Explore machine learning for malware categorization using Python and scikit-learn. Learn to transform data, apply clustering algorithms, and generate YARA rules for effective malware hunting.
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1 Lesons
59 minutes
On-Demand
Free-Video
Docker

Deploying Machine Learning Models for Forensic Anthropology with Docker and Streamlit

0 rewiews
Deploy ML models for forensic anthropology using Docker and Streamlit. Learn to create a web application for skeletal sex prediction, combining archeology, physics, and technology for impactful research in bioarchaeology.
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10 Lesons
23 minutes
On-Demand
Free-Video
EuroPython Conference

Histogram-based Gradient Boosting in scikit-learn 0.21

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Explore the new Histogram-based Gradient Boosting implementation in scikit-learn 0.21, offering competitive performance with XGBoost and LightGBM for efficient machine learning on tabular data.
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1 Lesons
45 minutes
On-Demand
Free-Video
Black Hat

Applied Machine Learning for Data Exfil and Other Fun Topics

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Explore machine learning applications in cybersecurity, including data exfiltration, network mapping, and botnet detection. Hands-on examples and tool demonstrations provided for practical implementation.
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14 Lesons
44 minutes
On-Demand
Free-Video
Security Onion

Practical Cyborgism - Machine Learning for Bro Logs

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Explore machine learning techniques for analyzing Bro logs, focusing on supervised and unsupervised methods to enhance cybersecurity threat detection and analysis.
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21 Lesons
33 minutes
On-Demand
Free-Video
PyCon US

Charlas - Laura Gutiérrez Funderburk: Reduciendo prejuicio en la inteligencia artificial

0 rewiews
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.
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1 Lesons
30 minutes
On-Demand
Free-Video
PyCon US

Assessing and Mitigating Unfairness in AI Systems

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Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
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1 Lesons
2 hours 38 minutes
On-Demand
Free-Video
PyCon US

Building a Model Prediction Server

0 rewiews
Learn to create a FastAPI application that serves real-time predictions from a trained scikit-learn model, bridging the gap between model development and production deployment.
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1 Lesons
1 hour 45 minutes
On-Demand
Free-Video
EuroPython Conference

Scikit-learn to "Learn Them All"

0 rewiews
Overview of Scikit-learn for machine learning in Python, covering supervised and unsupervised techniques, with code examples and insights on implementation. Includes comparison to other ML libraries and scaling to big data.
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14 Lesons
40 minutes
On-Demand
Free-Video
EuroPython Conference

Extending Scikit-Learn with Your Own Regressor

0 rewiews
Learn to extend Scikit-Learn by implementing a robust Theil-Sen estimator, exploring its advantages over ordinary least squares and understanding Scikit-Learn's design and contribution process.
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11 Lesons
26 minutes
On-Demand
Free-Video
EuroPython Conference

Using Scikit-Learn's Interface for Turning Spaghetti Data Science into Maintainable Software

0 rewiews
Learn to structure data science code using Scikit-Learn's estimator and meta-estimator interfaces. Discover how to transform spaghetti code into maintainable, testable, and reusable machine learning models.
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9 Lesons
33 minutes
On-Demand
Free-Video
EuroPython Conference

Machine Learning - Power of Ensembles

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Explore ensemble methods in machine learning, combining diverse models for improved accuracy. Learn bagging, boosting, and stacking techniques with real-world examples and practical insights.
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1 Lesons
17 minutes
On-Demand
Free-Video
EuroPython Conference

Scientist Meets Web Dev - How Python Became the Language of Data

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Explore Python's evolution as a data science powerhouse, blending scientific computing with web development. Learn how this versatile language empowers researchers and analysts to tackle complex data challenges.
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18 Lesons
54 minutes
On-Demand
Free-Video
EuroPython Conference

Explaining Behavior of Machine Learning Models with ELI5 Library

0 rewiews
Explore techniques for interpreting and debugging ML models using eli5 library. Learn to explain linear models, decision trees, ensembles, and classifiers, improving trust and quality in ML solutions.
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1 Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference

Building a Naive Bayes Text Classifier with scikit-learn

0 rewiews
Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.
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16 Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference

Machine Learning on Non-Curated Data

0 rewiews
Techniques for handling missing values and non-normalized categories in machine learning, focusing on practical solutions using scikit-learn and DirtyCat for efficient data analysis without extensive cleaning.
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1 Lesons
43 minutes
On-Demand
Free-Video
EuroPython Conference

Image Processing with Scikit-Image and Dash

0 rewiews
Explore image processing using scikit-image and Dash. Learn to build interactive applications for transforming, analyzing, and visualizing images with Python tools in various scientific and industrial contexts.
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1 Lesons
31 minutes
On-Demand
Free-Video
EuroPython Conference

Boosting Research with Machine Learning

0 rewiews
Explore machine learning applications in research, from neuron recognition to EEG-based movement prediction. Learn Python techniques for data preparation and analysis using various ML methods.
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11 Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference

Astro Pi - Python on the International Space Station

0 rewiews
Explore Python programming on the International Space Station with Astro Pi, a collaboration between Raspberry Pi Foundation and ESA, offering exciting opportunities for students to conduct space experiments.
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28 Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference

Diffprivlib - Privacy-Preserving Machine Learning with Scikit-Learn

0 rewiews
Explore differential privacy in machine learning using Diffprivlib, a tool for training accurate models with robust privacy guarantees, seamlessly integrating with scikit-learn and numpy.
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22 Lesons
27 minutes
On-Demand
Free-Video
EuroPython Conference

The Painless Route in Python to Fast and Scalable Machine Learning

0 rewiews
Learn to optimize Python for high-performance machine learning, from Intel-enhanced packages to scalable data processing and analytics pipelines that rival C++/MPI performance on large datasets and clusters.
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1 Lesons
43 minutes
On-Demand
Free-Video
EuroPython Conference

Scaling scikit-learn - Introducing New Sets of Computational Routines

0 rewiews
Discover recent performance improvements in scikit-learn, exploring computational patterns, new routine implementations, and future hardware-specialized developments for enhanced machine learning efficiency.
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1 Lesons
32 minutes
On-Demand
Free-Video
EuroPython Conference

Dynamically Generated Methods with a Non-Generic Signature

0 rewiews
Explore dynamic method generation in Python using Descriptors, PEP-362, and PEP-487. Learn scikit-learn's approach to attaching generated methods to classes, understanding use-cases and challenges.
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1 Lesons
30 minutes
On-Demand
Free-Video
PASS Data Community Summit

Code Like a Snake Charmer Version 2.0 - Introduction to Python

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Comprehensive introduction to Python for data science, covering basics and machine learning using real-world datasets. Ideal for beginners looking to integrate Python into Microsoft tools.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Kick-Start Your Understanding of Machine Learning with Python

0 rewiews
Practical guide to building ML applications in Python, focusing on text classification using unsupervised and supervised learning techniques with visualization and deep learning examples.
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1 Lesons
30 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Hands-on Python: Fitting Regression Models with Sklearn and Statsmodels - Part 3

0 rewiews
Fit regression models using sklearn and statsmodels in Python. Learn model setup, evaluation, and implementation techniques.
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4 Lesons
13 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Handling Multicollinearity with Ridge Regression in Python

0 rewiews
Implement Ridge Regression using Python and sklearn to handle multicollinearity in data analysis.
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1 Lesons
18 minutes
On-Demand
Free-Video
Open Data Science

Tabular Learning: Skrub and Foundation Models - Automating Data Wrangling

0 rewiews
Explore tabular learning with skrub library, automating data wrangling and simplifying complex pipelines for efficient machine learning on organizational data.
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1 Lesons
22 minutes
On-Demand
Free-Video
Tech with Tim

A Python Developer's Guide to AI in 2024

0 rewiews
Comprehensive guide for Python developers on AI trends in 2024, covering machine learning, neural networks, computer vision, LLMs, RAG, and AI agents.
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7 Lesons
13 minutes
On-Demand
Free-Video
GOTO Conferences

Fixing the Image Problems of the Web Using Machine Learning

0 rewiews
Explore how machine learning can address web image issues, enhancing user experience and accessibility. Learn innovative techniques for optimizing visual content on the internet.
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1 Lesons
38 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Coresets and Decision Trees for Machine Learning Optimization

0 rewiews
Discover how coresets can optimize decision tree algorithms, boost computation speed by 10x, and maintain accuracy in machine learning applications through geometric partitioning techniques.
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1 Lesons
59 minutes
On-Demand
Free-Video
All Things Open

Reproducible ML Experimentation with Rubicon-ML

0 rewiews
Explore reproducible ML experimentation using rubicon-ml, an open-source Python library for capturing and storing model training information in a searchable way, ensuring full reproducibility and audit-ability.
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10 Lesons
32 minutes
On-Demand
Free-Video
All Things Open

What's New with rubicon-ml? Capital One's Solution for Logging the ML Lifecycle

0 rewiews
Explore rubicon-ml, Capital One's open-source solution for standardizing ML lifecycle logging. Learn to integrate it with popular libraries for efficient model development, monitoring, and governance.
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1 Lesons
44 minutes
On-Demand
Free-Video
Google TechTalks

A Nearly Tight Analysis of Greedy k-means++

0 rewiews
Explore the greedy k-means++ algorithm's performance, analyzing its approximation guarantees and comparing it to the original k-means++ method for solving the k-means problem.
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1 Lesons
52 minutes
On-Demand
Free-Video
RSA Conference

Threat Hunting with Python and Pandas - Data Science Techniques for Cybersecurity Analysis

0 rewiews
Explore data science techniques for efficient threat hunting using Python, Pandas, and Scikit-Learn. Gain insights into applying these tools for enhanced cybersecurity analysis and operations.
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1 Lesons
45 minutes
On-Demand
Free-Video
Data Science Festival

Advanced Python Libraries for Data Science

0 rewiews
Explore advanced Python libraries for data science, focusing on scikit-learn, TensorFlow, and PyTorch Geometric. Learn implementation, methodologies, and practical applications through code exercises.
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25 Lesons
1 hour 45 minutes
On-Demand
Free-Video
ChemicalQDevice

Developer Transition: Machine Learning to Quantum Machine Learning

0 rewiews
Explore quantum machine learning frameworks, tools, and resources to transition from classical ML. Gain insights into QML algorithms, simulators, and future developments in the field.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Keith Galli

Predicting Healthcare Insurance Costs with Python - Real-World Data Science Problem Solving

0 rewiews
Predict healthcare insurance costs using Python and machine learning. Clean data, visualize with pandas, and apply scikit-learn for linear regression in this hands-on tutorial with real-world data analysis.
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9 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Great Learning

Essential Python Libraries for Data Science and Development - 2024

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Master essential Python data science libraries including NumPy, Pandas, Matplotlib, Scikit-learn, and more through hands-on examples and practical demonstrations, culminating in building a Tic Tac Toe game.
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11 Lesons
7 hours 46 minutes
On-Demand
Free-Video