I need an expert to fully set up my research environment on my laptop so I can reproduce all experiments from my research paper “Evaluating Cross-Dataset Robustness of Machine Learning Models for Malware Detection”. The setup must support LightGBM, CNN, and GNN experiments exactly as implemented in my project files. The freelancer will be responsible for installing and configuring: 1. Required Environment Python 3.10+ Jupyter Notebook Pip & virtual environment GPU support (CUDA & cuDNN) if my laptop supports it Required Python packages including: pandas, numpy scikit-learn lightgbm seaborn, matplotlib tensorflow / keras (for CNN) torch + torch_geometric (for GNN) scipy pillow tqdm networkx sklearn.calibration utilities 2. Dataset Setup Please prepare the following datasets on my laptop: • EMBER2018 (CSV features) Used for LightGBM. • Malimg Dataset Folder structure with malware family images for CNN classification. • LAMDA Dataset CSV with features and labels for GNN and drift analysis. I will provide the datasets if needed. 3. Code Setup You will reproduce the exact execution environment from my notebooks (included in the research document): LightGBM implementation (Feature removal, training, calibration curve, ROC-AUC) CNN implementation (image preprocessing, augmentation, training, evaluation, calibration) GNN (GraphSAGE) (graph creation with cosine similarity, training, ROC, MCC, calibration) You must ensure the code runs without errors. 4. Testing & Verification After installation, you must: Run each model and ensure results match expected outputs in my research Paper_need to be MDPI Show me the ROC curve, calibration curve, and confusion matrix for each model Ensure the environment is stable and reusable 5. Deliverables Fully working environment on my laptop All dependencies installed All datasets correctly organized Jupyter Notebook running all 3 models successfully A short guide explaining how I can run each experiment again Ideal Freelancer Strong experience with Python ML environments Experience with LightGBM, CNNs, GNNs Familiar with malware detection datasets Experience with PyTorch Geometric is a bonus Able to troubleshoot CUDA/GPU compatibility issues Patient and able to walk me through the setup step-by-step (remote desktop) Project Duration 1–2 days setup