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- User Authentication
- Enrique Sanqui's Credentials
- Enrique Sanqui's Wallet
- New Developments in Python
- Python AI Development: Introduction
- Artificial Intelligence: Human-computer Interaction Methodologies
- Python AI Development: Practice
- Artificial Intelligence: Basic AI Theory
- Artificial Intelligence: Types of Artificial Intelligence
- Artificial Intelligence: Human-computer Interaction Overview
- Fundamentals of AI & ML: Foundational Data Science Methods
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- Building ML Training Sets: Preprocessing Datasets for Classification
- Decision Analysis and Management: Technical Monitoring
- Advanced Classification in Python Bootcamp: Session 3 Replay
- Graph Modeling on Apache Spark: Working with Apache Spark GraphFrames
- Neural Network Mathematics: Exploring the Math behind Gradient Descent
- Support Vector Machine (SVM) Math: A Conceptual Look at Support Vector Machines
- Distance-based Models: Implementing Distance-based Algorithms
- Statistical Analysis and Modeling in R: Building Regularized Models & Ensemble Models
- Random Forests & Uplift Models
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
- Linear Models & Gradient Descent: Managing Linear Models
- Complex Visualizations & Analytics
- Statistical Analysis and Modeling in R: Performing Classification
- Data Considerations in Analytics
- Statistical Analysis and Modeling in R: Performing Regression Analysis
- Excel with Python: Working with Excel Spreadsheets from Python
- Linear Regression Models: Introduction
- Regression Math: Using Gradient Descent & Logistic Regression
- Math & Optimizations: Introducing Graphs & Graph Operations
- Graph Data Structures: Understanding Graphs & Knowledge Graphs
- Optimizing Operations Using Demand Forecasting and Capacity Management
- Math & Optimizations: Solving Optimization Problems Using Integer Programming
- Math & Optimizations: Solving Optimization Problems Using Linear Programming
- Concepts & Background
- Index Design Guidelines
- Apache Spark Getting Started
- Preparing for BI Data Models
- Track 1: Power BI Basics
- Track 2: Advanced Operations with Power BI
- Using Functions
- Data Analysis using Spark SQL
- Building Innovation Cultures and Leaders
- Data Preprocessing
- Applying Predictive Analytics
- Data Gathering
- Track 1: Analytics Foundations
- Time Series Modeling
- Text Mining & Social Network Analysis
- Data Collection & Exploration
- Correlation & Regression
- Six Sigma Exploratory Data Analysis
- Clustering Techniques
- Designing BI Data Models
- Data Research Statistical Approaches
- Applied Data Analysis
- Track 5: Getting Started with Python
- Data Science Statistics: Applied Inferential Statistics
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Mining, Data Distributions, & Hypothesis Testing
- Working with Data
- Data Science Overview
- Engineering Perspectives
- Data Science for Managers Bootcamp: Session 1 Replay
- Big Data Essentials
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Database Design
- Project Management Tools: Understanding the Collaboration Tools
- Graph & Charts
- Exploring Data Visualization
- Working with Analysts
- Analytics by Function
- Basic Analytical Methods
- Data Visualization Essentials
- Data and Analytics Technologies at Work
- Understanding and Raising Analytics Maturity
- Project Management Needs vs. Expectations
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Analytics Literacy for Business Professionals
- Business Reporting: Leveraging Treemaps, Matrices, & Slicers in Power BI
- Working with Data for Effective Decision Making
- Framing Opportunities for Effective Data-driven Decision Making
- Business Reporting: Creating & Formatting Matrix Visualizations in Power BI
- Skills for Project Analysts: Negotiation Skills
- Project Evaluation: Defining Success Metrics
- Spark for High-speed Big Data Analytics
- Using Apache Spark for AI Development
- Introducing Apache Spark for AI Development
- Business Reporting: Visualizing & Merging Data in Power BI
- Business Reporting: Getting Started with Power BI Desktop for Data Analysis
- Project Management Tools: Understanding PM Tools
- Linear & Logistic Regression
- Linear Algebra & Probability: Advanced Linear Algebra
- Azure AI Fundamentals: Machine Learning with Azure Services
- Azure Data Scientist Associate: Machine Learning Services
- Azure Data Scientist Associate: Azure Machine Learning Workspaces
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Delivering Dashboards: Management Patterns
- Data Science Tools
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Using Pandas to Work with Series & DataFrames
- Getting Started with Python: Introduction
- Python - Introduction to Pandas and DataFrames
- Python - Advanced Operations with NumPy Arrays
- Data Engineering Getting Started
- Data Architecture Getting Started
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Literacy for Business Professionals
- Enrique Sanqui's Transcript
- Enrique Sanqui's Wallet
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