Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Michael Spica's Credentials
- Michael Spica's Wallet
- Computational Theory: Language Principle & Finite Automata Theory
- Artificial Intelligence: Basic AI Theory
- Linear Regression Models: Introduction to Logistic Regression
- Simplifying Regression and Classification with Estimators
- Linear Regression Models: Multiple & Parsimonious
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Regression Models: Introduction
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Micron Inventor Badge
- Math for Data Science & Machine Learning
- Advanced Visualizations & Dashboards: Visualization Using R
- R for Data Science: Data Visualization
- Data Recommendation Engines
- NLP for ML with Python: NLP Using Python & NLTK
- Advanced Visualizations & Dashboards: Visualization Using Python
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- Core Statistical Concepts: Statistics & Sampling with Python
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Core Statistical Concepts: An Overview of Statistics & Sampling
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- OpenCV: Introduction
- Matrix Decomposition: Using Eigendecomposition & Singular Value Decomposition
- Matrix Decomposition: Getting Started with Matrix Decomposition
- Essential Maths: Exploring Linear Algebra
- Calculus: Understanding Integration
- Calculus: Derivatives with Linear and Quadratic Functions & Partial Derivatives
- Math & Optimizations: Solving Optimization Problems Using Linear Programming
- Calculus: Getting Started with Derivatives
- Math & Optimizations: Solving Optimization Problems Using Integer Programming
- Math & Optimizations: Introducing Sets & Set Operations
- Math & Optimizations: Introducing Graphs & Graph Operations
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Python for Data Science: Basic Data Visualization Using Seaborn
- Storytelling with Data: Tableau & Power BI
- Storytelling with Data: Introduction
- Tableau Desktop: Real Time Dashboards
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Raw Data to Insights: Data Management & Decision Making
- Data Driven Organizations
- The Four Vs of Data
- Hadoop HDFS Getting Started
- Developing a Basic MapReduce Hadoop Application
- Hadoop & MapReduce Getting Started
- Apache Spark Getting Started
- Inferential Statistics
- Common Approaches to Sampling Data
- R Classification & Clustering
- Simple Descriptive Statistics
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- R Data Structures
- Python - Introduction to Pandas and DataFrames
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Engineering Getting Started
- Data Architecture Getting Started
- Python Journeyman
- Final Exam: Python Journeyman
- Python Concurrent Programming: Multithreading in Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Concurrent Programming: Asynchronous Executions in Python
- Flask in Python: User Authentication in a Flask Application
- Python Concurrent Programming: Introduction to Concurrent Programming
- Flask in Python: User Interactions in Flask Applications
- Python Requests: HTTP Requests with Python
- Flask in Python: An Introduction to Web Frameworks & Flask
- Flask in Python: Building a Simple Web Site Using Flask
- Python Unit Testing: Testing Python Code Using pytest
- Python Unit Testing: Testing Python Code Using doctest
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Python Unit Testing: An Introduction to Python's unittest Framework
- Python Basics
- Ports, Protocols, & the OSI Model
- CCNA 2020: Networking Protocols
- (ISC)² & Security Fundamentals
- CCNA 2020: IP Addressing Basics & Configuration
- CCNA 2020: Networking Components
- Michael Spica's Transcript
- Michael Spica's Wallet
- About Accredible