74 results

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

Supervised Learning with scikit-learn

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

4 hours Machine Learning Hugo Bowne-Anderson Course

Natural Language Processing Fundamentals 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

Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours Machine Learning Ismail Elezi 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

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

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 Toolbox

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

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification and clustering.

6 hours Machine Learning Gilles Inghelbrecht Course

Supply Chain Analytics in Python

Leverage the power of Python and PuLP to optimize supply chains.

4 hours Machine Learning Aaren Stubberfield 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

Machine Learning with Apache Spark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier Course

Sentiment Analysis in Python

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hours Machine Learning Violeta Misheva 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

Forecasting Using ARIMA Models in Python

Learn about ARIMA models in Python and become an expert in time series analysis.

4 hours Machine Learning James Fulton Course

Big Data Fundamentals via PySpark

Learn the fundamentals of working with big data with PySpark.

4 hours Machine Learning Upendra Kumar Devisetty 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

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

Deep Learning with Keras in Python

Learn to start developing deep learning models with Keras.

4 hours Machine Learning Miguel Esteban 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

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

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

Convolutional Neural Networks for Image Processing

Convolutional neural networks are deep learning algorithms that are particularly powerful for analysis of images.

4 hours Machine Learning Ariel Rokem 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

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

Advanced Deep Learning with Keras in Python

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

4 hours Machine Learning Zachary Deane-Mayer 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

Hyperparameter Tuning in Python

Learn to tune hyperparameters in Python.

4 hours Machine Learning Alex Scriven 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

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

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 Sarah Guido Course

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger Course

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours Machine Learning Albert Y. Kim Course

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Machine Learning with 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

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

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

4 hours Machine Learning Kasey Jones Course

Customer Segmentation in Python

Learn how to segment customers in Python.

4 hours Machine Learning Karolis Urbonas Course

Dimensionality Reduction in Python

Learn to reduce dimensionality in Python.

4 hours Machine Learning Jeroen Boeye Course

Foundations of Predictive Analytics in Python (Part 1)

In this course you'll learn to use and present logistic regression models for making predictions.

4 hours Machine Learning Nele Verbiest 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

Building Recommendation Engines with PySpark

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

4 hours Machine Learning Jamen Long Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos Course

Dimensionality Reduction in R

Develop your intuition for when to reduce dimensionality in your data, and master the fundamentals of how to do so in R.

4 hours Machine Learning Alexandros Tantos Course

Clustering Methods with SciPy

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

Fraud Detection in R

Learn to detect fraud with analytics in R.

4 hours Machine Learning Bart Baesens Course

Generalized Linear Models in Python

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

5 hours Machine Learning Ita Cirovic Donev Course

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

4 hours Machine Learning Shirin Elsinghorst (formerly Glander) Course

HR Analytics in Python: Predicting Employee Churn

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

4 hours Machine Learning Hrant Davtyan Course

Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

4 hours Machine Learning Kailash Awati Course
See 4 More Results

What Makes a Pokémon Legendary?

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

45 minutes Machine Learning, Data Manipulation... Joshua Feldman Project

Comparing Cosmetics by Ingredients

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

45 minutes Machine Learning, Data Manipulation... Jiwon Jeong Project

The Impact of Climate Change on Birds

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

45 minutes Machine Learning, Data Manipulation... Laurens Geffert Project

Find Movie Similarity from Plot Summaries

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

45 minutes Machine Learning, Data Manipulation... Anubhav Singh Project

Give Life: Predict Blood Donations

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

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

Clustering Bustabit Gambling Behavior

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes Machine Learning, Data Manipulation... Eric Hare Project

Planning Public Policy in Argentina

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

45 minutes Machine Learning, Data Manipulation... Rafael La Buonora Project

Degrees That Pay You Back

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

45 minutes Machine Learning, Data Manipulation... Jaclyn Burge Project

Predicting Credit Card Approvals

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

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

Naïve Bees: Deep Learning with Images

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

45 minutes Machine Learning, Data Manipulation... Emily Miller Project

Clustering Heart Disease Patient Data

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

45 minutes Machine Learning, Data Manipulation... Megan Robertson Project

ASL Recognition with Deep Learning

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

45 minutes Machine Learning, Data Manipulation... Alexis Cook Project

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 Machine Learning, Data Visualization... Robert Grant Project

Reducing Traffic Mortality in the USA

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

60 minutes Machine Learning, Data Manipulation... Joel Östblom Project

Reducing Traffic Mortality in the USA

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

60 minutes Machine Learning, Data Manipulation... Joel Östblom Project

Explore 538's Halloween Candy Rankings

Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!

60 minutes Machine Learning, Data Manipulation... Nick Solomon Project

Classify Song Genres from Audio Data

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

60 minutes Machine Learning, Data Manipulation... Lina Tran Project

Naïve Bees: Predict Species from Images

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

60 minutes Machine Learning, Data Manipulation... Peter Bull Project

Naïve Bees: Image Loading and Processing

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

60 minutes Machine Learning, Data Manipulation... Peter Bull Project

The Hottest Topics in Machine Learning

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

45 minutes Machine Learning, Data Manipulation... Lars Hulstaert Project

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