112 results for "machine learning"

Machine Learning for Everyone

An introduction to machine learning with no coding involved.

4 hours Machine Learning Hadrien Lacroix Course

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 Machine Learning Elie Kawerk Course

Machine Learning for Time Series Data in Python

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

4 hours 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 Machine Learning Zachary Deane-Mayer Course

Machine Learning with PySpark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier Course

Machine Learning for Business

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

4 hours Machine Learning Karolis Urbonas 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 Machine Learning Nathan George Course

Machine Learning in the Tidyverse

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

5 hours Machine Learning Dmitriy Gorenshteyn 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 Machine Learning Karolis Urbonas 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 Machine Learning Verena Pflieger Course

Advanced Deep Learning with Keras

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

4 hours Machine Learning Zachary Deane-Mayer Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos Course

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge in machine learning, and prepare for any potential question you might get in a machine learning interview in Python.

4 hours Machine Learning Lisa Stuart Course

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

4 hours Machine Learning Rafael Falcon Course

Introduction to Deep Learning in Python

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

4 hours Machine Learning Dan Becker Course

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours Machine Learning Miguel Esteban Course

Preprocessing for Machine Learning in Python

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

4 hours Machine Learning DataCamp Content Creator Course

Introduction to Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours Machine Learning Ismail Elezi Course

Feature Engineering for Machine Learning in Python

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

4 hours 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 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

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 Machine Learning Román de las Heras 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

Natural Language Generation in Python

Imitate Shakespear, translate language and autocomplete sentences using Deep Learning in Python.

4 hours Machine Learning Biswanath Halder Course

Human Resources Analytics: Predicting Employee Churn in Python

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

4 hours 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 Machine Learning Brett Lantz Course

Image Processing with Keras in Python

Learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras.

4 hours Machine Learning Ariel Rokem Course

Introduction to TensorFlow in Python

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

4 hours Machine Learning Isaiah Hull Course

Introduction to TensorFlow in R

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks.

4 hours Machine Learning Colleen Bobbie 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 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

Unsupervised Learning in R

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

4 hours Machine Learning Hank Roark 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 Machine Learning Alan Nichol 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 Machine Learning Rounak Banik 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 Machine Learning Ines Montani Course

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 Machine Learning Jose Hernandez Course

Supervised Learning with scikit-learn

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

4 hours Machine Learning Hugo Bowne-Anderson Course

Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours Machine Learning Benjamin Wilson Course

Introduction to Natural Language Processing in Python

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hours Machine Learning Katharine Jarmul Course

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours Machine Learning John Mount Course

Linear Classifiers in Python

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours Machine Learning Mike Gelbart Course

Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours Machine Learning Shaumik Daityari Course

Image Processing in Python

Learn to process, transform, and manipulate images at your will.

4 hours Machine Learning Rebeca González Course

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours Machine Learning Dmitriy Gorenshteyn Course

AI Fundamentals

Learn the fundamentals of AI. No programming experience required!

4 hours Machine Learning Nemanja Radojković Course

Tree-Based Models in R

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

4 hours Machine Learning Gabriela de Queiroz Course

Dimensionality Reduction in Python

Learn to reduce dimensionality in Python.

4 hours Machine Learning Jeroen Boeye Course
See 41 More Results

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

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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