Machine Translation with Keras
Are you curious about the inner workings of the models that are behind products like Google Translate?
Siga videos cortos dirigidos por instructores expertos y luego practique lo que ha aprendido con ejercicios interactivos en su navegador.
Are you curious about the inner workings of the models that are behind products like Google Translate?
This course will show you how to combine and merge datasets with data.table.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Learn how to prepare and organize your data for predictive analytics.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn to analyze and model customer choice data in R.
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Predict employee turnover and design retention strategies.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.
Learn the fundamentals of valuing stocks.
Learn how to tune your models hyperparameters to get the best predictive results.
Learn to detect fraud with analytics in R.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
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.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn defensive programming in R to make your code more robust.
Use C++ to dramatically boost the performance of your R code.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.