Data Science And Machine Learning Project Let's get started Project Short introduction - In Our Indian Yield prediction is a very important issue in agriculture. Any farmer is interested in knowing how much yield he is about to expect. In the past, yield prediction was performed by considering farmer's experience in particular fields and crops. The yield prediction is a major issue that remains to be solved based on available data. Machine learning and data science are the better choices for this purpose. Different Data techniques are also used and evaluated in agriculture for estimating the future year's crop production. ML and Data science propose and implement a system to predict crop yield from previous agriculture data. So, Our first step is Data preprocessing. we need to understand, clean, and balance data and we will understand step by step. 1) load real-life data, we need to import pandas library. raw_data = pd.read_csv('yield_df.csv') Unnamed: 0...