150 results for "machine l"

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

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

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

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

Image Processing in Python

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

4 hours Machine Learning Rebeca Gonzalez 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

Hyperparameter Tuning in Python

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

4 hours Machine Learning Alex Scriven 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

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

Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

4 hours Machine Learning Azadeh Mobasher 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

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

4 hours Machine Learning Fouad Trad 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

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger 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

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

Dimensionality Reduction in R

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

4 hours Machine Learning Matt Pickard Course

Fully Automated MLOps

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

4 hours Machine Learning Arturo Opsetmoen Amador 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

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

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Text Mining with Bag-of-Words in R

Learn the bag of words technique for text mining with R.

4 hours Machine Learning Ted Kwartler Course

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

4 hours Machine Learning Kasey Jones Course

Sentiment Analysis in R

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

4 hours Machine Learning Ted Kwartler 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

Fraud Detection in R

Learn to detect fraud with analytics in R.

4 hours Machine Learning Bart Baesens 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

Introduction to Data Versioning with DVC

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

3 hours Machine Learning Ravi Bhadauria Course

Recurrent Neural Networks (RNNs) for Language Modeling with Keras

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

4 hours Artificial Intelligence David Cecchini Course

Image Modeling with Keras

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

4 hours Artificial Intelligence Ariel Rokem Course

Bayesian Modeling with RJAGS

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

4 hours Probability & Statistics Alicia Johnson Course

Working with Hugging Face

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

4 hours Artificial Intelligence Jacob Marquez Course

Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours Probability & Statistics Rasmus Bååth Course

Data Manipulation in Julia

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

4 hours Data Manipulation Katerina Zahradova Course

Python for R Users

This course is for R users who want to get up to speed with Python!

5 hours Programming Daniel Chen Course

Data Storytelling Case Study: College Majors

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

1 hour Data Literacy Leondra Gonzalez Course

Feature Engineering with PySpark

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

4 hours Data Manipulation John Hogue Course

Statistical Techniques in Tableau

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

4 hours Data Visualization Maarten Van den Broeck Course

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

4 hours Data Manipulation Maria Eugenia Inzaugarat Course

Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours Data Preparation Adel Nehme Course

Generative AI Concepts

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

2 hours Artificial Intelligence Daniel Tedesco Course

Introduction to Spark with sparklyr in R

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

4 hours Programming Richie Cotton Course

Handling Missing Data with Imputations in R

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

4 hours Data Manipulation Michał Oleszak Course

Introduction to LLMs in Python

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

4 hours Artificial Intelligence Iván Palomares Carrascosa Course
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