Title

Data Science: Car Price Prediction-Model Building Deployment

A practical hands on Data Science Project on Car Price Prediction - Model Building & Deployment

4.57 (15 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Data Analysis and Understanding

Univariate and Bivariate Analysis

Data Preparation

Model Building using XGBoost to predict price of a car

Model Evaluation

Predicting important variables leading to a car price using XGBoost

Running the model on a local Streamlit Server

Pushing your notebooks and project files to GitHub repository

Deploying the project on Heroku Cloud Platform

Why take this course?

🌟 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:

Installing Packages
Importing Libraries
Loading the Data
Data Understanding
Data Cleaning
Univariate Analysis
Bivariate Analysis
Data Binning
Correlation HeatMap Plotting
Scatter Plots Visualization
Distribution of Data Visualization
Outlier Analysis
One Hot Encoding
Train Test Split
Variable Scaling with StandardScaler
Creating XGBoostRegression Model
Hyperparameter Tuning
Optimized Model Building
Model Evaluation with R2 Score
Plotting Actual vs. Predicted Values
Extracting Important Features & Coefficients
Introduction to Streamlit
Creating a User Interface
Running Notebook on Streamlit Server Locally
Pushing Your Project to GitHub
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:

Certificate of Completion: Showcase your newfound expertise with a certificate from AutomationGig.
Access to Datasets: All datasets used throughout the course are available for your practice and projects.
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!!! 📚➡️💻🎉