Machine Learning Assessment

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We are seeking a machine learning expert to complete an assessment involving regression and classification tasks using real datasets.
Scope of Work:
Task 1: Regression
• Choose two regression algorithms (e.g., Linear Regression, Decision Trees, Random Forest, SVM, etc.).
• Implement and train both models on a dataset (we can provide or a suggested dataset from Kaggle).
• Submit fully working source code for both models.
• Write a detailed report covering:
o Model accuracies: Which performed better?
o Explanation of how both models work, with references. Why did one perform better?
o Suggestions for improvement (e.g., adding/removing features, data visualization).
Task 2: Classification
• Choose two classification algorithms (e.g., Naïve Bayes, K-Nearest Neighbors, SVM, Random Forest, etc.).
• Train both models on a dataset (we can provide or a suggested dataset from Kaggle).
• Submit fully working source code for both models.
• Write a detailed report covering:
o Model accuracies: Which performed better?
o Explanation of how both models work, with references. Why did one perform better?
o Suggestions for improvement (e.g., feature selection, data preprocessing).
Requirements:
• Proficiency in Python (Scikit-learn, Pandas, Matplotlib, etc.).
• Strong understanding of machine learning algorithms.
• Ability to analyse and interpret model performance.
• Good technical writing skills for the report.
• Proper referencing for research insights.
Deliverables:
✅ Fully working Python scripts for both tasks.
✅ Well-structured report analysing results and improvements.
Deadline: 5 Days