Academic Research Classification with ML

I'm conducting an academic research project and need assistance with a classification task using machine learning.

Key Responsibilities:
- Apply various classification algorithms to numerical data.
- Help in interpreting the results and refining the approach.
- Evaluate the models using appropriate metrics such as accuracy, precision, recall, and F1-score.
- Preprocess the data to prepare it for classification tasks.
- Create visualizations to better understand data distribution and classification results.
- Select and engineer features that improve model performance.
- Perform hyperparameter tuning to optimize classification algorithms.
- Implement cross-validation techniques to ensure the robustness of the model.

Ideal Skills and Experience:
- Proficiency in machine learning, specifically in classification tasks.
- Experience working with numerical data.
- Familiarity with a range of classification algorithms, including but not limited to Decision Trees, Support Vector Machines (SVM), and Neural Networks.
- Good communication skills for explaining complex concepts simply.