In this comprehensive tutorial, we guide you through the entire process of developing and deploying a machine learning regression model to predict car prices 🚘. From data preprocessing to deploying your model with Streamlit and creating a Power BI Dashboard, this video covers it all! What you’ll learn in this video: 1. Understanding the Machine Learning Process: A step-by-step explanation of building ML models. 2. Data Preprocessing: Cleaning, handling missing values, and transforming variables. 3. Data Visualization: Exploring the data with pair plots, box plots, histograms, and bar charts. We also investigate data distributions and correlations using a Pearson correlation heatmap. 4. Feature Engineering: Converting categorical variables into numerical representations. 5. Model Development: Using a Decision Tree algorithm for feature importance and running a regression model to predict car prices. 6. Model Validation: Splitting the data using holdout validation and evaluating performance. 7. Deployment: o Building an interactive Streamlit app to predict car prices with user inputs. o Creating a Power BI Dashboard to visualize predictions and insights. Tools used: • Python (Pandas, Seaborn, Scikit-learn) • Streamlit for app development • Power BI for dashboard creation By the end of this video, you’ll have a fully functional ML model, an interactive web app, and a professional dashboard to showcase your predictions! 🎯 Don’t forget to like, comment, and subscribe for more ML tutorials! 🔗 Chapters: 00:00 – Intro 02:05 – The ML Process 03:01 – Problem formulation 03:18 – Loading the Raw Data 04:15 – Data Preprocessing 11:57 – Data Visualizations 19:18 – Preparing the DF for Modelling 21:48 – Correlations 22:40 – Feature Importance 24:08 – Hold Out Validation 24:55 – Running Regression 25:57 – Evaluation Metrics Web Scraping Video: • How to use Chat GPT and Python to scrape a... Regression Part 1 video: • Learn how to Develop and Deploy a Simple M... Streamlit Part 2: • Deploying a Machine Learning Model in a St... Power BI Part 3: • How to create a Power BI Dashboard to shar... Github Link: https://github.com/Pitsillides91/pyth... Connect with me on LinkedIn: / yiannis-pitsillides-8b103271 Follow me on X: https://x.com/pitsillides91