Discover SaySachinYadav/Covid_19-Countrywise-Analysis Open Source

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SaySachinYadav

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This analysis will help us to find the basis behind common notions about the virus spread from purely a dataset perspective. So, let’s flex some data science muscles and jump right into it.Using pandas, the dataset can be directly imported into data-frames. It is much better to use the URLs (specified in the section above) than to download the file manually and then read it as it becomes easier to load and refresh the analysis with new data.

Coding_ninja_Introduction_to_CPP

In this repository you will find programs and solutions of every lectures, assignments that are present in the C++ course.

Covid_19_Analysis--Pandas

In this project, you will see how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, I'am going to work with the COVID19 dataset, published by Covid India Organisation, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, I have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

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Weather_Forecast_Dataset

Jupyter Notebook

Google-App-s-Ratings-Analysis

In this notebook, I'm gonna analyze Google Play Store data's. While I was analyzing the data, I used Python. The libraries are used in this are Pandas most importantly and for numpy for calculation and matplotlib for Visualization

Jupyter Notebook

Credit_Card_Fraud

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.