HelloGuru

Step 1: Artificial intelligence: What is it and where is it used?

Step 2: Who can use AI?

Step 3: Datasets

Step 4: Predictive Model

Step 5: Types of Problems

Step 6: Workflow of a project with AI vs AI no-code (part 1)

Step 7: Workflow of a project with AI vs AI no-code (part 2)

Step 1: Goals: First Problem

Step 2: Goals: Second problem

Step 3: Uploading the dataset

Step 4: Exploring and changing columns

Step 5: Overview

Step 6: Distribution

Step 1: First steps

Step 2: Analyzing the first result

Step 3: Data Leakage

Step 4: Prediction without data leakage

Step 5: Recalculating

Step 6: Filters

First Challenge! Predicting the Price for Barcelona

Step 1: Neighborhood prediction

Second Challenge! Neighborhood prediction without price or taxes

Step 1: Recapping models

Step 2: Drivers

Step 3: Correlation does not imply causality

Step 4: Personas

Step 5: Ideal persona

Third Challenge: Creating a prototype of a persona

Step 1: Test results export

Step 2: Exporting results to Web App

Step 3: Exporting results to Google Drive

Step 4: Predictions by batch

Step 1: Chosen model

Step 2: Training, Validation, and Testing Metrics

Step 3: Overfitting

Step 4: Loss function

Step 5: Advanced metrics

Step 6: Regression Metrics

Step 7: Classification Metrics

Step 8: Advanced Analytics

Step 9: Confusion matrix

Step 10: Actual vs Predicted Value

Step 1: Data store

Step 2: Database connection

Conclusion