Mixed Data ML Analysis Expert Needed - Immediate Start

This project involves completing two tasks to demonstrate your ability to apply machine learning algorithms to real-world datasets. The tasks will focus on regression and classification, with both requiring practical implementation, performance evaluation, and detailed reporting.

Task Breakdown:

Regression Task:
Choose two regression algorithms (e.g., Linear Regression, Random Forest, Decision Trees, SVM, etc.).
Apply them to a dataset of your choice.
Evaluate and compare their performance.

Classification Task:
Choose two classification algorithms (e.g., Naïve Bayes, K-Nearest Neighbors, SVM, etc.).
Apply them to a dataset of your choice (or the same dataset if applicable).
Evaluate and compare their performance.

Requirements:
Submit a single zipped folder containing:
Source code for both tasks.
Datasets used.
Reports for each task explaining:
How each algorithm works (research and theory).
Implementation steps.
Evaluation of model performance and accuracy comparison.
This project assesses your technical proficiency, analytical skills, and ability to communicate findings effectively.