Ai & Machine Learning

ML for Accounting with Python

(0 reviews)
Share icon
Coursera

For the purpose of accounting data analytics, the course educates students on the application and optimization of machine learning models in Python.

Key AI Functions:python programming,machine learning model evaluation and optimization,basic time series analysis,machine learning modeling,text analysis,ai & machine learning

Description for ML for Accounting with Python

Features of the Course:

  • Machine Learning Algorithms: Comprehend the various machine learning models and their applications in order to address accounting-related issues.

  • Practical Application with Python:** Learn how to apply machine learning models to datasets using Python in Jupyter Notebook through practical application.

  • Model Evaluation: Acquire the ability to assess the accuracy and efficacy of machine learning models.

  • Model Optimization: Investigate methods for optimizing machine learning models to enhance their efficacy.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by University of Illinois Urbana-Champaign

Duration: 64 hours (approximately)

Schedule: Flexible

Reviews for ML for Accounting with Python

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for ML for Accounting with Python

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming
icon

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language
icon

Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

#Python Programming #Langchain
icon

Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.

#Software Development #Python Programming
icon

Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.

#Voice Assistants #Chatbots
icon

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning
icon

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming
icon

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming
icon

Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.

#Data Science #Data Analysis
icon

Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.

#Convolutional Neural Network #Python Programming
icon