Python
Showing 169–180 of 358 results
IBM: Guided Project: Get Started with Data Science in Agriculture V2
Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps
IBM: Guided Project: Predict World Cup Soccer Results with ML V2
In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.
IBM: Guided Project: Secure Analysis of a Credit Card Dataset V2
In this one-hour of hands-on guided project, you can easily learn how to analyze data using pandas, a popular Python library used for data analysis. This project will teach you how to analyze credit risk on a client dataset using the pandas library.
IBM: Introduction to Statistics for Data Science using Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.
IBM: Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
IBM: Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
IBM: Software, Programming, and Database Basics
This course introduces the fundamentals of software, programming languages, web browsers, cloud computing and database concepts.
IBM: SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
IBM: Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
IITBombayX: Shell Programming – A necessity for all Programmers
Unleash your Linux scripting skills and amaze others with your productivity level.
Image Recognition with Machine Learning
Build and train machine learning models for image recognition tasks using Python libraries.
Importing Text Files in Python
In order to work with data in Python, you need to know how to get data into Python. In this course I will teach you how to import text files and tabular data into Python in three different ways: by reading text directly, using Numpy, and Pandas