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100daysofpython

amazon-sales-data-analysis

analysis-using-ms-excel

Excel projects are stored here.

analyze-and-present-data-with-excel

Analysis using Excel.

blank-page

churn-prediction-model

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

eda-cda

intro-to-numpy

library

pdfmerger

portfolio

product-sales-analysis

Analyze some Business question about 12 month sales data using Pandas and Python Matplotlib , Plotly using Jupyter Notebook.

python-cs50

python-jupyter-notebook

python-projects--level-easy

python_scrapy_project

res-pro

rise-and-fall-of-programming-languages

How can we tell what programming languages and technologies are used by the most people? How about what languages are growing and which are shrinking, so that we can tell which are most worth investing time in? One excellent source of data is Stack Overflow, a programming question and answer site with more than 16 million questions on programming topics. By measuring the number of questions about each technology, we can get an approximate sense of how many people are using it. I am going to use open data from the Stack Exchange Data Explorer to examine the relative popularity of languages like R, Python, Java and Javascript have changed over time. Each Stack Overflow question has a tag, which marks a question to describe its topic or technology.

scrape_web

sql-data-exploration

tasnimxpress.github.io

My Personal Portfolio made with HTML, CSS and a little help of JavaScript.

world_population