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For the solution I Performed Data Transformation, Statistical Analysis, Data Visualization and various Statistical tests. The Key performance indicator was the chi squared test which resulted in giving out the p value more than 0.05 Hence proving the null hypothesis could be rejected and the version 7 of the game could be best the solution.
The dataset was trained using XG Boost, Collaborative filtering, KNN, K-means and Neural Network Algorithm
The accuracy of the models was about 95.8% on an average.
The statistical Analysis revealed that, 70% of the restaurants have online ordering facility, 23% allowed reservation facility.
Click to view the raw files.To obtain the solution I performed ETL, i.e., Extracted the stock data from a solar panel selling company’s website and stored in SQL database. The Data-set contained more than 1000 rows and 5 columns as the Key Performance Indicato
The goal was to Analysis the Bookshop data statistically
As a solution Created a dashboard.
The analysis revealed, the highest total sale of a book(total number of sales was 2777 with a Max price of $97.9), average cost of each book ($40.30), The most sold books were from EPD publications and their book size was also bigger compared to other publishers. The max sales crossed $18300.
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