Credit Scoring Model
Real-Time Predictive Analysis
Solutions
Predictive Operations
Key Techniques in Machine Learning
Machine Learning Algorithms for Beginners
Future Predictions
Future Trends in Predictive Analytics Applications
Real-Time Predictive Analysis 
Predictive
Modeling: Applying machine learning algorithms to create models that can predict future outcomes based on the processed data
...applications include: Industry Application Finance Fraud detection and
credit scoring ...
Solutions 
open-source data science platform that provides a comprehensive suite of tools for data preparation, machine learning, and
model deployment
...Finance Fraud detection, risk management, and
credit scoring ...
Predictive Operations 
Model Development: Creating predictive models that can forecast future events based on historical data
...Minimized default rates and improved
credit scoring ...
Key Techniques in Machine Learning 
This means that the input data is paired with the correct output, allowing the
model to learn the relationship between the two
...Credit scoring, customer churn prediction Support Vector Machines Finds the hyperplane that best separates different classes in the dataset
...
Machine Learning Algorithms for Beginners 
Description Use Cases Linear Regression A statistical method to
model the relationship between a dependent variable and one or more independent variables
...Credit scoring, customer segmentation Support Vector Machines A classification technique that finds the hyperplane that best separates different classes in the feature space
...
Future Predictions 
Simulation: Using
models to simulate potential future scenarios based on varying inputs
...Improved treatment plans and reduced readmission rates Finance
Credit scoring Enhanced risk assessment and fraud detection Retail Inventory management Optimized stock levels and reduced
...
Future Trends in Predictive Analytics Applications 
Automated Machine Learning (AutoML): Streamlining
model selection and tuning processes
...Credit Scoring: Assessing the creditworthiness of individuals and businesses
...
Enhancing Decision Making with Predictions 
Modeling: Creating predictive models that can forecast future events based on historical data
...Enhanced inventory management and resource allocation Finance
Credit scoring and risk assessment Reduced financial risk and improved decision-making Operations Predictive maintenance
...
Relationships 
Machine Learning Machine learning algorithms can be employed to
model and predict relationships between variables
...Finance: Relationship analysis aids in
credit scoring and risk assessment by evaluating the connections between financial variables
...
Advanced Statistical Methods 
Type of Regression Description Use Cases Linear Regression
Models the relationship between two variables by fitting a linear equation
...Customer churn prediction,
credit scoring 2
...
Nebenberuflich selbstständig Ideen
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...