This repository contains the projects completed during the Edunet Foundation Internship Program conducted in collaboration with UpSkill Campus.
Throughout the internship, I worked on real-world Machine Learning projects involving:
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Machine Learning Model Development
- Model Evaluation
- Data Visualization
- GitHub Project Documentation
upskillcampus/
│
├── README.md
├── Internship_Report.pdf
│
├── Project-1-Crop-Yield-Prediction/
│
└── Project-2-Smart-City-Traffic-Pattern-Forecasting/
Predict agricultural crop yield using machine learning algorithms based on historical crop data.
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- Joblib
- Dataset Exploration
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Feature Selection
- Linear Regression
- Decision Tree Regressor
- Model Evaluation
- Model Saving
- Mean Absolute Error (MAE)
- Mean Squared Error (MSE)
- R² Score
Forecast future traffic volume using historical traffic data and Machine Learning techniques.
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- Data Cleaning
- Feature Engineering
- Date-Time Processing
- Random Forest Regression
- Model Evaluation
- Traffic Prediction
- Data Visualization
- MAE
- MSE
- RMSE
- R² Score
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- Joblib
- Git & GitHub
During this internship I gained practical experience in:
- Machine Learning Workflow
- Data Cleaning & Preprocessing
- Feature Engineering
- Regression Algorithms
- Model Evaluation
- Data Visualization
- GitHub Version Control
- Technical Documentation
- Internship Report
- Project Source Code
- Jupyter Notebooks
- Datasets
- Requirements Files
- Project Documentation
Fardeen Akmal
Final Year B.E. Computer Engineering (IoT, Cyber Security & Blockchain Technology)
📧 Email: fardeenakmal123@gmail.com
🔗 GitHub: https://github.com/fardeenakmal
🔗 LinkedIn: https://www.linkedin.com/in/fardeenakmal
Organization: Edunet Foundation
Training Partner: UpSkill Campus
Domain: Data Science & Machine Learning
I would like to thank Edunet Foundation and UpSkill Campus for providing this internship opportunity, enabling me to gain practical experience in Data Science and Machine Learning through real-world projects.