Driverless AI Starter Course

Are you ready to take your data science workflows to new heights? Get ready for an exciting learning experience with our highly anticipated Driverless AI Starter Course: https://youtu.be/yU6EDD955bA If you prefer not to study all at once, we have developed a specialized playlist where we will regularly release videos (around 3 times per week until September 2023) covering the material step by step and chapter by chapter. This approach allows you to have more flexibility with your time: https://youtube.com/playlist?list=PLNtMya54qvOFdFcLyCSUf7TRGE5gmor_h Subscribe now so that you don't miss out later ;)! PS: For any certification related inquiries, please send us an e-mail at the following address: certification@h2o.ai

Discover how Driverless AI by H2O.ai is revolutionizing machine learning with automation, speed, and precision. From advanced feature engineering to handling imbalanced datasets and delivering production-ready models in minutes — this platform is built for scale and real-time impact. ✔️ Automated model building ✔️ Low-latency real-time inference ✔️ Regulatory-ready documentation ✔️ Maximum predictive performance with cutting-edge AutoML Explore more at: https://h2o.ai #AutoML #DriverlessAI #MachineLearning #AI #DataScience #H2Oai

Start your learning journey with an engaging introduction to the "Driverless AI Starter Course" playlist. Understand the goals and objectives of the course and get ready to explore the exciting world of automated machine learning.

Dive into the core concepts and features of Driverless AI. Learn how it automates the machine learning workflow, simplifying the process of building accurate and robust models.

Understand the different problem types that can be solved using Driverless AI. Explore regression, classification, and time series forecasting, and learn how to apply appropriate techniques for each problem.

Get hands-on experience by connecting to the Driverless AI instance. Learn the necessary steps to set up your environment and start working with the platform effectively.

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Familiarize yourself with the Driverless AI interface and its main components. Navigate through the platform, discover the key functionalities, and get comfortable with the user-friendly interface.

Learn how to import and load datasets into Driverless AI. Understand the supported data formats and explore the options for bringing your data into the platform.

Dive into the dataset overview and explore the various action buttons available in Driverless AI. Gain insights into your data, perform quick actions, and facilitate efficient data exploration.

Delve deeper into the details of your dataset. Understand the column types, identify missing values, and analyze the distribution of your data to gain a comprehensive understanding of its characteristics.

Discover the power of recipes in Driverless AI. Learn how to modify datasets using recipes, which include preprocessing, transformation, and feature engineering techniques to enhance your data for model building. Please take 5 to 10 minutes to solve the following: Assignment 1: Modify recipe using live code

Take 5 to 10 minutes to work on the assignment and put your skills to the test and modify a recipe using live code, gaining hands-on experience with data transformation.

Uncover the visualization capabilities of Driverless AI. Learn how to leverage the visualization action button to gain deeper insights into your data, identify patterns, and visualize relationships. Please take 5 to 10 minutes to solve the following: Assignment 2: Create a new visualization

Take 5 to 10 minutes to work on the assignment and put your creativity to work and create a new visualization, exploring different aspects of your dataset.

Understand the correlation between features in your dataset using the correlation graph. Explore the relationships between variables and identify important connections that can impact model performance. Please take 5 to 10 minutes to solve the following: Assignment 3: Take a moment to explore the graphs

Take 5 to 10 minutes to work on the assignment and explore the graphs generated by Driverless AI, gaining valuable insights into your dataset.

Explore the data preparation functionality in Driverless AI. Learn how to preprocess and clean your data, handle missing values, and apply necessary transformations to optimize your data for model training.

Discover the power of the predict action button in Driverless AI. Learn how to generate predictions on your dataset using the trained models, enabling you to evaluate the model's performance and make informed decisions. Please take 5 to 10 minutes to solve the following: Assignment 4: Take the interactive tour

Take 5 to 10 minutes to work on the assignment and explore the interactive tour feature, which guides you through various aspects of the Driverless AI interface.

Understand the training settings in Driverless AI and how they impact the model building process. Explore various options to configure the training settings and optimize model performance.

Gain a high-level understanding of the expert settings available in Driverless AI. Learn how to fine-tune models and customize your experiments to achieve specific objectives.

Unlock the flexibility of Driverless AI by creating custom recipes. Explore how to extend the platform's functionality with your own transformations and feature engineering techniques. Please take 5 to 10 minutes to solve the following: Assignment 5: Create a new experiment with customized knobs and avgmcc

Take 5 to 10 minutes to work on the assignment, apply your knowledge and create a new experiment using customized settings and metrics.

Dive into the experiment page of Driverless AI. Explore the different tabs and functionalities available for monitoring and managing your experiments, allowing you to track progress and make informed decisions.

Learn how to interpret model results and understand the importance of different features in driving model predictions. Explore techniques to assess variable importance and gain insights into the factors influencing model performance.

Gain insights into the completed experiment listing page. Review and compare different experiments, analyze their performance, and extract valuable insights for future experiments.

Understand the significance of the receiver operating characteristic (ROC) curve in evaluating classification models. Learn how to analyze and interpret the ROC curve to assess model performance accurately.

Discover the interpretability report generated by Driverless AI. Learn how to interpret and analyze the report to gain insights into the model's behavior, understand the factors driving predictions, and ensure model transparency.

Explore the Shapley values for original features. Gain a deeper understanding of the impact of individual features on model predictions and learn how to interpret these values effectively. Please take 5 to 10 minutes to solve the following: Assignment 6: Explore the Shapley Values output

Take 5 to 10 minutes to work on the assignment and analyze the Shapley Values, to determine feature importance, identify feature interactions or gain more model understanding.

Learn how to create partial dependence plots in Driverless AI. Understand how these plots can provide insights into the relationship between input variables and the model's predictions.

Dive into interpretations using surrogate models. Explore how surrogate models can provide additional insights into the inner workings of complex models, enhancing model interpretability. Please take 5 to 10 minutes to solve the following: Assignment 7: Rerun the Baseline experiment

Take 5 to 10 minutes to work on the assignment and reproduce the experimental setup, train the model using the same procedures and hyperparameters, and evaluate its performance.

Learn how to perform diagnostics and visualize the scoring pipeline in Driverless AI. Understand the various diagnostic tools available and gain insights into model behavior and performance.

Discover how to download the AutoDoc generated by Driverless AI. Learn how this documentation summarizes the machine learning pipeline, providing insights into the model's configuration and performance. Please take 5 to 10 minutes to solve the following: Assignment 8: Explore the Autodoc

Take 5 to 10 minutes to work on the assignment and understand how it generates documentation, the format of the documentation it produces, it contents and its potential benefits for code organization, collaboration, and maintainability.

Explore the projects tab in Driverless AI. Understand how to organize your experiments, collaborate with team members, and manage your projects effectively.

Wrap up the "Driverless AI Starter Course" playlist with guidance on what to do next. Discover additional resources, advanced courses, and real-world applications to continue your journey in automated machine learning. Important note: in case you are not already a H2O.ai client, but you want to take the Quiz and receive a Certificate of Completion, please let us know by contacting us at the following email address: certification@h2o.ai