data cleaning (Course Promo)
Data cleaning is where data scientists spend the majority of their time. The data is coming from multiple sources and may not sit well together. Furthermore, there may be human errors and errors due to software/hardware failure. If the data received from the real-world sources is not properly cleaned, scaled, organized and well presented, even the latest models may not yield good results. It is, therefore, very important to understand what may corrupt data and how to improve the quality of data. The link to the complete course is given below. Please contact me for discounted coupon.
https://www.udemy.com/course/data-cle...