LynLing/NASA-africa

# NASA-africa This is a part of EC601 project in which we have planned to build a website which would display information on the different crops which can be favourly grown in different regions of africa. We have planned to use the dataset available from kaggle african soil competition to train the machine learning model we are building. The predicted results will be mapped onto the list of crops which inturn will be mapped to the website. Mahcine learning algorithms we are going to implement: 1)Linear regression 2)Random Forest 3)Support Vecotor Machines Since the dataset we used only have five soil properties, our machine learning code is essentially limited to predicting those five features of the soil, however our python code is extendible to any number of features. This complete code can be found in complete_three_algorithms.py Our project is in the website folder, all you need to do here is to download this folder, copy it to the localhost directory and redirect it to product.html. To setup apache server,php,mysql database in a mac machine, here is the link, youtube.com