Apple iPhones are among the top-selling smartphones worldwide. There is huge competition among smartphone brands in India, where you can get the latest technology in a smartphone at half the price of an iPhone. Still, there are high sales of iPhones in India. This is an analysis of the sales of iPhones in India
A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently. The dataset used here contains two data files about two marketing campaigns (Control Campaign and Test Campaign) based on which various analyzis is done.
The comparison and representation of the happiness score in different parts of the world during the year 2016 & 2017.
A data science project using Python libraries like Pandas, Numpy, Matplotlib, and Seaborn to analyze flight prices.
This project is based on series of real-world data analysis tasks using a Netflix movie & TV show dataset. Panda Skills worked on in this project are: General Python Pandas Knowledge, Using groupby method and aggregating values, Sorting columns by value (ascending & descending), Converting columns to datetime, parsing dates, Strategically iterating through dataframes and counting values
Analyzing the screen time of a user helps smartphone companies give a review of all the activities of the user on their smartphone. It helps users understand if they were productive, creative, or wasted their time. Analyze the screen time of the user to find relationships between the usage of the smartphone and factors like notifications and apps used by the user.
A diamond is one of the most expensive stones. The price of diamonds varies irrespective of the size because of the factors affecting the price of a diamond.