Description for Fundamentals of ML for Supply Chain
Data Manipulation with Python: Teach yourself how to merge, sanitize, and manipulate datasets with Python libraries like Numpy and Pandas.
Advanced Python Functionalities: Become proficient in the application of lambda functions, the utilization of list comprehensions, and the importation of modules to facilitate efficient programming.
Exploratory Data Analysis (EDA): Create Pythonic skills and best practices for analyzing complex supply chain datasets, with techniques that are applicable to other disciplines.
Optimization of the Supply Chain: Utilize Linear Programming and the Pulp library to resolve a supply chain cost optimization issue.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by LearnQuest
Duration: 3 weeks at 4 hours a week
Schedule: Flexible
Pricing for Fundamentals of ML for Supply Chain
Use Cases for Fundamentals of ML for Supply Chain
FAQs for Fundamentals of ML for Supply Chain
Reviews for Fundamentals of ML for Supply Chain
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Fundamentals of ML for Supply Chain
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
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.
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
Learn to perform inferential statistical analysis, assess and improve data visualizations, integrate machine learning into data analysis, and analyze social network connectivity.
In less than six months, acquire skills that are in high demand, including machine learning, regression models, Python, and statistical analysis.
Learn to develop interactive web applications with Python and Streamlit, train machine learning models using scikit-learn, and visualize evaluation metrics for binary classification algorithms.
Construct the gradient descent algorithm, execute univariate linear regression with NumPy and Python, and create data visualizations with matplotlib.
Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.
Gain practical experience in implementing Linear Regression with Numpy and Python, understand its significance in Deep Learning, require prior theoretical knowledge of gradient descent and linear regression, and catered primarily to students in the North American region with future plans for global accessibility.
Proficient in the fields of artificial intelligence, machine learning, and data science. Become an IBM-approved Expert in Artificial Intelligence, Machine Learning, and Data Science.
Featured Tools
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Developing a Strategic Advantage through the Mastery of Generative AI. Leverage the transformative potential of Generative AI to empower your leadership suite.
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Compare & Review AI Tool Directory AI Course Marketplace
