127 results for "machine l"

Machine Learning with Tree-Based Models in Python

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hours AI & Machine Learning Elie Kawerk Course

Machine Learning for Business

Understand the fundamentals of Machine Learning and how it's applied in the business world.

2 hours AI & Machine Learning Karolis Urbonas Course

Machine Learning with scikit-learn

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

4 hours AI & Machine Learning Hugo Bowne-Anderson Course

Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours AI & Machine Learning Ismail Elezi Course

Machine Learning for Time Series Data in Python

This course focuses on feature engineering and machine learning for time series data.

4 hours AI & Machine Learning Chris Holdgraf Course

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hours AI & Machine Learning Zachary Deane-Mayer Course

Machine Learning with PySpark

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

4 hours AI & Machine Learning Andrew Collier Course

Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hours AI & Machine Learning Sandro Raabe Course

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

4 hours AI & Machine Learning Nathan George Course

Machine Learning for Marketing in Python

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

4 hours AI & Machine Learning Karolis Urbonas Course

Machine Learning in the Tidyverse

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hours AI & Machine Learning Dmitriy Gorenshteyn Course

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

4 hours AI & Machine Learning Verena Pflieger Course

Understanding Machine Learning

An introduction to machine learning with no coding involved.

2 hours AI & Machine Learning Hadrien Lacroix Course

Advanced Deep Learning with Keras

Build multiple-input and multiple-output deep learning models using Keras.

4 hours AI & Machine Learning Zachary Deane-Mayer Course

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

4 hours AI & Machine Learning Lisa Stuart Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours AI & Machine Learning Christoforos Anagnostopoulos Course

Developing Machine Learning Models for Production

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

4 hours AI & Machine Learning Sinan Ozdemir Course

Introduction to Deep Learning in Python

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

4 hours AI & Machine Learning Dan Becker Course

Preprocessing for Machine Learning in Python

In this course you'll learn how to get your cleaned data ready for modeling.

4 hours AI & Machine Learning James Chapman Course

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours AI & Machine Learning Miguel Esteban Course

Introduction to Deep Learning with PyTorch

Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters, and tackle classification and regression problems.

4 hours AI & Machine Learning Maham Khan Course

Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

4 hours AI & Machine Learning Robert O'Callaghan Course

Predicting CTR with Machine Learning in Python

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

4 hours AI & Machine Learning Kevin Huo Course

Case Study: School Budgeting with Machine Learning in Python

Learn how to build a model to automatically classify items in a school budget.

4 hours Case Studies Peter Bull Course

Supervised Learning with scikit-learn

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hours AI & Machine Learning George Boorman Course

Modeling with tidymodels in R

Learn to streamline your machine learning workflows with tidymodels.

4 hours AI & Machine Learning David Svancer Course

MLOps Concepts

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

2 hours AI & Machine Learning Folkert Stijnman Course

Introduction to PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

4 hours Programming Nick Solomon Course

Introduction to Spark SQL in Python

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

4 hours Data Manipulation Mark Plutowski Course

Ensemble Methods in Python

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

4 hours AI & Machine Learning Román de las Heras Course

Feature Engineering in R

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

4 hours AI & Machine Learning Jorge Zazueta Course

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

4 hours Applied Finance Michael Crabtree Course

Building Recommendation Engines in Python

Learn to build recommendation engines in Python using machine learning techniques.

4 hours AI & Machine Learning Robert O'Callaghan Course

HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

4 hours AI & Machine Learning Hrant Davtyan Course

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours AI & Machine Learning Brett Lantz Course

Introduction to TensorFlow in Python

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

4 hours AI & Machine Learning Isaiah Hull Course

Introduction to MLflow

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

4 hours AI & Machine Learning Weston Bassler Course

Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours AI & Machine Learning Sergey Fogelson Course

Data Processing in Shell

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

4 hours Data Manipulation Susan Sun Course

MLOps for Business

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

3 hours AI & Machine Learning Arne Warnke Course

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours AI & Machine Learning Hank Roark Course

Introduction to Julia

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

4 hours Programming James Fulton Course

MLOps Deployment and Life Cycling

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

4 hours AI & Machine Learning Nemanja Radojković Course

Feature Engineering for NLP in Python

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours AI & Machine Learning Rounak Banik Course

Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours AI & Machine Learning Alan Nichol Course

Analyzing IoT Data in Python

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

4 hours Data Manipulation Matthias Voppichler Course

Advanced NLP with spaCy

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours AI & Machine Learning Ines Montani Course

Introduction to Feature Engineering in R

Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models.

4 hours AI & Machine Learning Jose Hernandez Course

Introduction to ChatGPT

Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.

1 hour AI & Machine Learning James Chapman Course

AI Fundamentals

Learn the fundamentals of AI. No programming experience required!

4 hours AI & Machine Learning Nemanja Radojković Course
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The Hottest Topics in Machine Learning

Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.

45 minutes Data Manipulation, Data Visualization... Lars Hulstaert Project guided

Predicting Credit Card Approvals

Build a machine learning model to predict if a credit card application will get approved.

45 minutes Data Manipulation, Machine Learning... Sayak Paul Project guided

Who's Tweeting? Trump or Trudeau?

Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!

60 minutes Data Manipulation, Data Visualization... Katharine Jarmul Project guided

What Makes a Pokémon Legendary?

Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.

45 minutes Data Manipulation, Data Visualization... Joshua Feldman Project guided

Classify Song Genres from Audio Data

Rock or rap? Apply machine learning methods in Python to classify songs into genres.

60 minutes Data Manipulation, Data Visualization... Lina Tran Project guided

Exploring the Kaggle Data Science Survey

Discover the top tools Kaggle participants use for data science and machine learning.

45 minutes Data Manipulation, Data Visualization... Amber Thomas Project guided

The Impact of Climate Change on Birds

Predict the impact of climate change on bird distributions using spatial data and machine learning.

45 minutes Data Manipulation, Data Visualization... Laurens Geffert Project guided

Give Life: Predict Blood Donations

Build a binary classifier to predict if a blood donor is likely to donate again.

45 minutes Data Manipulation, Machine Learning... Dimitri Denisjonok Project guided

Predict Taxi Fares with Random Forests

Use regression trees and random forests to find places where New York taxi drivers earn the most.

45 minutes Data Visualization, Machine Learning... Robert Grant Project guided

JPMC Anti-Fraud Analysis

Use data manipulation, cleaning, and feature engineering skills to prepare a payment dataset for fraud prediction modeling.

60 minutes Data Manipulation, Machine Learning Matthew Lansdell Project guided

Comparing Cosmetics by Ingredients

Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.

45 minutes Data Manipulation, Data Visualization... Jiwon Jeong Project guided

Find Movie Similarity from Plot Summaries

Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.

45 minutes Data Manipulation, Data Visualization... Anubhav Singh Project guided

Clustering Bustabit Gambling Behavior

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes Data Manipulation, Data Visualization... Eric Hare Project guided

Planning Public Policy in Argentina

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes Data Manipulation, Data Visualization... Rafael La Buonora Project guided

Degrees That Pay You Back

Explore the salary potential of college majors with a k-means cluster analysis.

45 minutes Data Manipulation, Data Visualization... Jaclyn Burge Project guided

Naïve Bees: Deep Learning with Images

Build a deep learning model that can automatically detect honey bees and bumble bees in images.

45 minutes Data Manipulation, Data Visualization... Emily Miller Project guided

Clustering Heart Disease Patient Data

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

45 minutes Data Manipulation, Data Visualization... Megan Robertson Project guided

ASL Recognition with Deep Learning

Build a convolutional neural network to classify images of letters from American Sign Language.

45 minutes Data Manipulation, Data Visualization... Alexis Cook Project guided

Reducing Traffic Mortality in the USA

How can we find a good strategy for reducing traffic-related deaths?

60 minutes Data Manipulation, Data Visualization... Joel Östblom Project guided

Reducing Traffic Mortality in the USA

How can we find a good strategy for reducing traffic-related deaths?

60 minutes Data Manipulation, Data Visualization... Joel Östblom Project guided

Naïve Bees: Predict Species from Images

Build a model that can automatically detect honey bees and bumble bees in images.

60 minutes Data Manipulation, Data Visualization... Peter Bull Project guided

Naïve Bees: Image Loading and Processing

Load, transform, and understand images of honey bees and bumble bees in Python.

60 minutes Data Manipulation, Data Visualization... Peter Bull Project guided

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