Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

The VACC Open OnDemand instance offers several choices of Python to choose from. The Anaconda distribution(s) with over 250 installed packages will cover most common scenarios except some specialized ...

Exploratory Data Analysis (EDA) and data cleaning script for a cafe sales dataset. Handles missing values, errors, and generates insights on transactions, sales trends, and correlations using Python ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...

Analyzing stock returns and volatility is crucial for making informed investment decisions. By leveraging Python, you can unlock powerful capabilities to analyze historical stock data, calculate ...

In this project, I performed time series forecasting using LightGBM. I predicted sales for 50 items across 10 different stores for a three-month period. The data covers 5 years (from 2013-01-01 to ...