Data Science and ML Capstone Project
A program that emphasizes the practical implementation of data science and machine learning to overcome obstacles through the use of Python.
Description for Data Science and ML Capstone Project
Real-World Application of Data Science: Effectively address real-world scenarios by utilizing data science and machine learning skills.
Data Analysis and Visualization: Utilize Python to analyze and visualize data in order to identify patterns and insights.
Model Validation and Feature Engineering: Utilize Python to validate the accuracy of predictive machine learning models and perform feature engineering.
Actionable Insights: Develop and disseminate valuable insights that are derived from real-world data in order to address practical issues.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 11
Offered by: On edX provided by IBM
Duration: 3�4 hours per week approx 6 weeks
Schedule: Flexible
Pricing for Data Science and ML Capstone Project
Use Cases for Data Science and ML Capstone Project
FAQs for Data Science and ML Capstone Project
Reviews for Data Science and ML Capstone Project
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Data Science and ML Capstone Project
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
AI-Signals, driven by AI algorithms, offers precise trading insights including institutional concepts, automated analysis, and access to a VIP Discord community, while potential intermittent errors and subscription requirements may be considerations.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
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.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
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.
Featured Tools
Obtain proficiency in the extension of the TensorFlow framework, the deployment of models to the Cloud ML Engine, and the repeatable evaluation of predictive models.
Learn the Rasa framework to create AI-powered chatbots, which is suitable for Python programmers who are new to chatbot development and lack prior machine learning experience. This course covers the fundamental components and practical applications.
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Explore the application, processes, case studies, and ethical implications of Generative AI tools in data analytics across various industries.