59 results for "python"

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

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

Advanced Deep Learning with Keras

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

4 hours Machine Learning Zachary Deane-Mayer 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

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

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

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

Machine 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 Machine Learning George Boorman 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

Image Processing in Python

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

4 hours Machine Learning Rebeca Gonzalez 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

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 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

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours Machine Learning Miguel Esteban 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

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

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 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

Dimensionality Reduction in Python

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hours Machine Learning Jeroen Boeye Course

Machine Learning with PySpark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier Course

AI Fundamentals

Learn the fundamentals of AI. No programming experience required!

4 hours 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 Machine Learning Rounak Banik Course

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

Hyperparameter Tuning in Python

Learn to tune hyperparameters in Python.

4 hours Machine Learning Alex Scriven 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

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

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Building Recommendation Engines in Python

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

4 hours Machine Learning Robert O'Callaghan 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

Recurrent Neural Networks for Language Modeling in Python

Use RNNs to classify text sentiment, generate sentences, and translate text between languages.

4 hours Machine Learning David Cecchini 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

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos Course

Introduction to Predictive Analytics in Python

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

4 hours Machine Learning Nele Verbiest Course

Customer Segmentation in Python

Learn how to segment customers in Python.

4 hours Machine Learning Karolis Urbonas Course

Supply Chain Analytics in Python

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

4 hours Machine Learning Aaren Stubberfield Course

Market Basket Analysis in Python

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

4 hours Machine Learning Isaiah Hull 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

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

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

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

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger 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

Machine Translation in Python

Are you curious about the inner workings of the models that are behind products like Google Translate?

4 hours Machine Learning Thushan Ganegedara Course

Data Privacy and Anonymization in Python

Learn to process sensitive information with privacy-preserving techniques.

4 hours Machine Learning Rebeca Gonzalez Course

Intermediate Predictive Analytics in Python

Learn how to prepare and organize your data for predictive analytics.

4 hours Machine Learning Nele Verbiest 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

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

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 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 Machine Learning, Data Manipulation... Anubhav Singh Project guided

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 guided

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 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 Machine Learning, Data Manipulation... Emily Miller Project guided

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 guided

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 guided

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 guided

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 guided

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 guided

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 guided

Technology

Topic