Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Vamsi Thatikonda's Credentials
- Vamsi Thatikonda's Wallet
- Business Impact Analysis & Risk Management
- Machine Learning
- Training Neural Networks: Implementing the Learning Process
- Convolutional and Recurrent Neural Networks
- Linear Regression Models: Introduction
- Getting Started with Python: Introduction
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Pandas Advanced Features
- Technology Landscape & Tools for Data Management
- Data Architecture Getting Started
- Data Engineering Getting Started
- Python - Introduction to Pandas and DataFrames
- Applying Predictive Analytics
- Neural Networks
- Applying Machine Learning
- Inferential Statistics
- Common Approaches to Sampling Data
- Simple Descriptive Statistics
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Using Pandas to Work with Series & DataFrames
- Supervised, Unsupervised & Deep Learning
- Azure Fundamentals: Cloud Computing
- Building ML Training Sets: Introduction
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Introduction to Machine Learning & Supervised Learning
- Unsupervised Learning
- Data Gathering
- Data Analysis Concepts
- Estimates & Measures
- Machine Learning Introduction
- Clustering, Errors, & Validation
- Data Communication & Visualization
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preperation in Pandas ML
- Linear Regression Models: Introduction to Logistic Regression
- Data Science Overview
- Python - Introduction to NumPy for Multi-dimensional Data
- Supervised Learning Models
- Vamsi Thatikonda's Transcript
- Vamsi Thatikonda's Wallet
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