Analysis Data mining using weka programme

. Selecting an appropriate data set from the selection available on Moodle and identify a suitable data mining task (e.g., classification, clustering). 2. Preparing and pre-processing the data 3. Identifying and choosing, with justification and critical appraisal, at least two data mining algorithms applicable to your chosen dataset 4. Conducting a series of experiments on your selected data set in relation to your data mining task (including appropriate parameter settings for each data mining algorithm) 5. Analysing and discussing the results of each experiment 6. Summarising and identifying future work that could be conducted. Each section will be explain in more detail under Deliverables: Your project findings will be written in the form of a research paper and formatted according to IEEE guidelines. A template in word can be found at [login to view URL]