I Telenet Engineering Solution

Do you use a Data Cleaning Checklist or just go through the motion to get it ready? Here are a few questions you should ask to make sure your data is ready and reliable: Is my data unbiased? Is my Data up-to-date? Are there missing values, and what are the causes? Are there erroneous values? For each field (input or target), does my data have the same unit? For each field (input or target), is the meaning of my data consistent? Is the same value recorded in the same way everywhere? Are there any duplicates? Are all sources of noise removed from my data? Have I identified and removed sources of data leakage? Are there any obvious outliers? Any other questions I should ask? Shout out to Robin, CEO of Itelnet for providing a service that makes data consistent and reliable, giving data scientists 80% of their time back so they can focus on creating value for their business.