#### Deep Learning in Python

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

74 results

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

4 hours
Machine Learning
Dan Becker
Course

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

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

Learn to create deep learning models with the PyTorch library.

4 hours
Machine Learning
Ismail Elezi
Course

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

4 hours
Machine Learning
Benjamin Wilson
Course

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

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

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

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

6 hours
Machine Learning
Gilles Inghelbrecht
Course

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

4 hours
Machine Learning
Aaren Stubberfield
Course

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

4 hours
Machine Learning
Isaiah Hull
Course

Learn how to make predictions with Apache Spark.

4 hours
Machine Learning
Andrew Collier
Course

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

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

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

4 hours
Machine Learning
James Fulton
Course

Learn the fundamentals of working with big data with PySpark.

4 hours
Machine Learning
Upendra Kumar Devisetty
Course

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

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

4 hours
Machine Learning
Mike Gelbart
Course

Learn to start developing deep learning models with Keras.

4 hours
Machine Learning
Miguel Esteban
Course

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

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

4 hours
Machine Learning
Hank Roark
Course

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

4 hours
Machine Learning
Brett Lantz
Course

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

4 hours
Machine Learning
Ariel Rokem
Course

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

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

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

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

4 hours
Machine Learning
Zachary Deane-Mayer
Course

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

Learn to tune hyperparameters in Python.

4 hours
Machine Learning
Alex Scriven
Course

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

4 hours
Machine Learning
Chris Holdgraf
Course

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

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

4 hours
Machine Learning
Sarah Guido
Course

Learn how to detect fraud using Python.

4 hours
Machine Learning
Charlotte Werger
Course

Explore Linear Regression in a tidy framework.

4 hours
Machine Learning
Albert Y. Kim
Course

Learn how to approach and win competitions on Kaggle.

4 hours
Machine Learning
Yauhen Babakhin
Course

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

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

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

4 hours
Machine Learning
Kasey Jones
Course

Learn how to segment customers in Python.

4 hours
Machine Learning
Karolis Urbonas
Course

Learn to reduce dimensionality in Python.

4 hours
Machine Learning
Jeroen Boeye
Course

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

4 hours
Machine Learning
Nele Verbiest
Course

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

4 hours
Machine Learning
Robert O'Callaghan
Course

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

4 hours
Machine Learning
Jamen Long
Course

Learn to build pipelines that stand the test of time.

4 hours
Machine Learning
Christoforos Anagnostopoulos
Course

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

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

Learn to detect fraud with analytics in R.

4 hours
Machine Learning
Bart Baesens
Course

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

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

4 hours
Machine Learning
Shirin Elsinghorst (formerly Glander)
Course

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

4 hours
Machine Learning
Hrant Davtyan
Course

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

4 hours
Machine Learning
Kailash Awati
Course

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

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

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

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

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

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

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

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

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

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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