When working with data, numbers alone are often difficult to understand. Data visualization helps us convert data into graphs and charts so that we can easily identify patterns, trends, and ...

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

About This project presents Exploratory Data Analysis (EDA) of the Diamonds dataset using Python libraries like Pandas, Seaborn, and Matplotlib. It explores relationships between features such as ...

Hands-on training in full stack web development, focusing on frontend design, backend programming, and database management to create dynamic, user-friendly, real-world web solutions. Analyzed Netflix ...

QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to understand their performance better by providing them with in-depth analytics and risk metrics.

Heat maps and box plots were plotted using Python (v.3.8.8), through matplotlib (v.3.5.2) 60 and seaborn (v.0.11.1) 61. Kaplan–Meier curves based on gene expression were generated with lifelines ...

The DREAM complex has emerged as a central repressor of DNA repair, raising questions as to whether such repression exerts long-term effects on human health. Here we establish that DREAM-associated ...