The Rise of Artificial Intelligence

Hey readers! Today, allow me to present you yet another dataset analysis of a rather gluttony topic, namely Avocado price analysis. This Data set  represents the historical data on avocado prices and sales volume in multiple US markets. Our prime objectives will be to visualize the dataset, pre-process it and ultimately test multiple sklearn classifiers to checkout which one gives us the best confidence and accuracy for our Avocado's Organic assurance! Note : I'd like to extend the kernel contribution to Shivam Negi . All this code belongs to him. Data Visualization This script must procure the following jointplot  While a similar joint plot can be drawn for conluding the linearly exponent relations between extra large bags and the small ones. Pre Processing The following script has been used for pre processing the input data. Model Definition and Comparisons We will be looking mostly at three different models, namely ra...

Hey Folks! I recently came across an excellent hot trending dataset in kaggle. It is named Mobile App Statistics (mainly based upon Apple iStore) and instantly determined to try my hands on this data set. Link to the data set: Apple App Store (7200 datasets) Now, our objectives would be these 3 for the developed kernel : Checking out popular applications in each genre in Apple Store (Basically, grabbing the top charts for our data Analysis)  Checking the trend of an App's  User Experience  with respect to its  cost ,  User Rating count  and  Number of devices and Languages  it supports. Judging a game's popularity by its APK size and make a  Random Forest Classifier  to classify by popularity Of these 3, I will be discussing the first and the third objective here! Before anything else, one may notice that the size in bytes is not really a good standard of measure, so why not convert it into Megabytes by th...