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- User Authentication
- Abrar jaleel Syed's Credentials
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- Agile Software Projects: Estimation Methods
- Final Exam: Agile Foundations
- Agile Foundations: Scrum Methodology
- Agile Software Projects: Software Design
- Agile Software Projects: Software Requirements
- The Sequential, Iterative, & Agile Software Models
- The Waterfall Software Development Model
- Agile Foundations: Fundamentals
- ChatGPT Prompt Engineering Examples & Use Cases
- ChatGPT & Its Practical Use Cases
- Finetuning Your ChatGPT Prompts
- ChatGPT's Impact on Various Industries
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- Transforming the Workplace Using Artificial Intelligence
- Deep Learning & Neural Network Implementation
- Building ML Training Sets: Preprocessing Datasets for Classification
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Building ML Training Sets: Introduction
- Machine Learning & Deep Learning Tools in the Cloud
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Regression & Clustering
- Linear Regression Models: Introduction to Logistic Regression
- Clustering, Errors, & Validation
- Clustering
- Linear Regression Models: Introduction
- Random Forests & Uplift Models
- Introduction to Machine Learning & Supervised Learning
- AWS Certified Machine Learning: Feature Engineering Techniques
- Using BigML: An Introduction to Machine Learning & BigML
- Estimates & Measures
- Data Communication & Visualization
- Data Analysis Concepts
- Common Approaches to Sampling Data
- Classifying and Collecting Data
- Six Sigma Black Belt: Data Types, Sampling, Collection, and Measurement
- Data Science Overview
- Data Considerations in Analytics
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Six Sigma Black Belt: Using Basic Statistics and Graphical Methods
- Inferential Statistics
- Statistical Analysis and Modeling in R: Understanding & Interpreting Statistical Tests
- Simple Descriptive Statistics
- Machine & Deep Learning Algorithms: Introduction
- Developing the Product & Sprint Backlogs
- Release & Sprint Planning
- Advanced Agile: Tools & Techniques
- Project Evaluation: Defining Success Metrics
- Managing and Engaging Stakeholders
- Software Project Management Communication Skills
- Software Requirements Planning
- Software Projects: Recruiting the Project Team
- Team Velocity and User Stories
- Business Analysis for Project Management: Practices for Early Project Stages
- Agile for Software Development: Lean, Agile, & Scrum Methodologies
- Scrum: Product Development Framework
- Business Analysis for Project Management: Practices for Later Project Stages
- Scrum Product: Defining the Why & How of the Product
- Stakeholder Communication: Software Projects & Stakeholder Communication
- Decision Making for Software Project Managers
- Product Development Practices
- Lean in Scrum: Lean Development Practices
- Scrum: Product Backlog
- Scrum: Creating Effective Product Backlogs
- Scrum Concepts & the Product Owner
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