Data Science: Car Price Prediction-Model Building Deployment

🌟 Data Science: Car Price Prediction - Model Building & Deployment 🌟

Course Headline:

A Practical, Hands-On Data Science Project on Car Price Prediction - Model Building & Deployment

Course Description:

Dive into the world of Data Science with our comprehensive online course designed to take you through the entire process of predicting car prices based on their features using cutting-edge Machine Learning Models. This isn't just theory; it's a hands-on experience where you'll learn to create, evaluate, and deploy a machine learning model on Cloud platforms, complete with a user interface for real-world interaction.

What You'll Learn:

• Data Exploration & Understanding: Begin your journey by understanding the dataset that contains car features and prices.
• Data Analysis & Preparation: Clean and prepare your data to ensure the best results from your machine learning model.
• Model Building: Utilize the powerful XGBoost algorithm to predict car prices accurately.
• Evaluation Techniques: Assess the performance of your model using metrics like R2 score and visualize actual vs. predicted values.
• Deployment on Cloud: Learn how to deploy your model onto cloud platforms such as Heroku, enabling users to interact with it via a user interface.

Your Step-by-Step Guide:

1. Installing Packages
2. Importing Libraries
3. Loading the Data
4. Data Understanding
5. Data Cleaning
6. Univariate Analysis
7. Bivariate Analysis
8. Data Binning
9. Correlation HeatMap Plotting
10. Scatter Plots Visualization
11. Distribution of Data Visualization
12. Outlier Analysis
13. One Hot Encoding
14. Train Test Split
15. Variable Scaling with StandardScaler
16. Creating XGBoostRegression Model
17. Hyperparameter Tuning
18. Optimized Model Building
19. Model Evaluation with R2 Score
20. Plotting Actual vs. Predicted Values
21. Extracting Important Features & Coefficients
22. Introduction to Streamlit
23. Creating a User Interface
24. Running Notebook on Streamlit Server Locally
25. Pushing Your Project to GitHub
26. Deploying Your Model on Heroku Platform

Why Take This Course?

Data Analysis, Model Building, and Deployment are critical skills in today's data-driven world. Mastering these skills will open up numerous opportunities in various industries. By enrolling in this course, you'll gain:

1. Certificate of Completion: Showcase your newfound expertise with a certificate from AutomationGig.
2. Access to Datasets: All datasets used throughout the course are available for your practice and projects.
3. Jupyter Notebooks: Receive fully-detailed Jupyter notebooks at the end of the course to reference or use as a starting point for your own projects.

Ready to Embark on Your Data Science Journey?

Simply click on the ENROLL NOW button, grab your coffee, and let's delve into the exciting world of Data Science together. This is your chance to learn one of the most in-demand skills of the 21st century. We're excited to have you join our community of data enthusiasts!

[Please note that this course and its related contents are for educational purposes only.]

Happy Learning!!! 📚➡️💻🎉