Category
Analysis
Description
Data analysis is a method for gathering, transforming, and organizing data in order to make predictions about the future and well-informed data-driven judgments. Finding potential answers to business problems is also helpful.
What you'll learn
Create Python code to format data, handle missing values, normalize it, and bin the data before cleaning and preparing it for analysis.
Utilize dataframes to manipulate data, summarize data, comprehend data distribution, carry out correlation, and build data pipelines.
Utilize libraries such as Pandas and Numpy to do exploratory data analysis and apply analytical methods to real-world datasets.
Regression model development and evaluation using machine learning Utilize the scikit-learn library to make predictions and decisions
