Welcome to my CodeAlpha internship project repository! During my time here, I have had the opportunity to work on three exciting machine learning projects that I am thrilled to share with you. Each project has helped me develop my skills in data science, machine learning, and web development.
This project involved building a predictive model to forecast sales based on advertising spend. I utilized various machine learning algorithms and created a user-friendly web application for real-time predictions.
- Data Preparation: Cleaned and preprocessed the dataset from
Advertising.csv. - Model Training: Explored algorithms such as Linear Regression, Random Forest, and XGBoost.
- Performance Evaluation: Assessed models using MAE, MSE, and R-squared metrics.
- Top Model: Random Forest achieved a Test Accuracy of 98.29% with a Test MAE of 0.596875.
- Web Application: Built using Flask for user-friendly interaction.
Developed a web application that predicts the value of a car based on multiple input features such as kilometers driven, year of manufacture, and fuel type.
- Flask: For building the web application.
- Scikit-learn: To create the machine learning model.
- Pandas: For data manipulation.
- Bootstrap: For responsive design.
📹 Check out the Demo Video.
Built a machine learning model to classify Iris flower species using the famous Iris dataset. The model achieved 100% accuracy!
- Model Training: Used a Decision Tree Classifier.
- Interactive Testing: Developed an interface to test the model with new inputs.
- Data Visualization: Employed Plotly for 3D visualizations.
This internship has been a remarkable opportunity for hands-on learning and skill development in machine learning and web applications. A big thank you to my mentors and the CodeAlpha team for their invaluable support!
- Machine Learning
- Data Visualization
- Python Programming
- Web Development with Flask
Feel free to reach out if you have any questions or feedback!
#MachineLearning #DataScience #WebDevelopment #Flask #GitHub #CodeAlphaInternship #SalesPrediction #CarPriceEstimator #IrisClassification #PredictiveModeling