Credit Scoring Model
Understanding Supervised Learning Techniques
Statistical Models for Businesses
Predictive Algorithms
Predictive Analytics Essentials
Understanding Statistical Models
Classification
Machine Learning Techniques
Understanding Supervised Learning Techniques 
Supervised learning is a fundamental technique in the field of machine learning that involves training a
model on a labeled dataset, where the input data is paired with the correct output
...Email classification,
credit scoring Decision Trees Both A tree-like model that makes decisions based on feature values, splitting the data into subsets
...
Statistical Models for Businesses 
Statistical
models are essential tools used by businesses to analyze data, forecast future trends, and make informed decisions
...Customer segmentation,
credit scoring, and operational decision-making
...
Predictive Algorithms 
Some notable examples include: Industry Application Finance
Credit scoring and risk assessment Retail Customer behavior prediction and inventory management Healthcare Patient outcome
...Feature Selection: Identifying the most relevant variables that contribute to the predictive
model, enhancing performance and interpretability
...
Predictive Analytics Essentials 
Future Trends Definition Predictive analytics involves various statistical techniques from data mining, predictive
modeling, and machine learning
...Finance:
Credit scoring and risk assessment
...
Understanding Statistical Models 
Statistical
models are mathematical representations of observed data and are widely used in various fields, including business analytics, economics, and social sciences
...2 Finance In finance, statistical models are used for: Risk assessment Portfolio optimization
Credit scoring 4
...
Classification 
The process typically involves two main steps: Training Phase: A
model is trained using a dataset that contains input features and their corresponding labels
...Credit scoring, risk assessment Random Forest An ensemble method that combines multiple decision trees
...
Machine Learning Techniques 
Supervised Learning Supervised learning is a type of machine learning where the
model is trained on a labeled dataset
...Logistic Regression Classification Customer churn prediction,
credit scoring Decision Trees Both Risk assessment, customer segmentation Support Vector Machines Classification
...
Predictions 
Applications Linear Regression A statistical method that
models the relationship between a dependent variable and one or more independent variables
...Customer churn prediction,
credit scoring Machine Learning Techniques Technique Description Applications Decision Trees A flowchart-like structure that makes decisions based
...
Using Decision Trees in Business Analytics 
The primary goal of a decision tree is to create a
model that predicts the value of a target variable based on several input variables
...Credit Scoring Assessing the creditworthiness of loan applicants by analyzing their financial history
...
Analyzing Customer Data with Machine Learning 
Spam detection,
credit scoring ...Feature Selection: Identify the most relevant features that contribute to the predictive power of the
model ...
Eine Geschäftsidee ohne Eigenkaptial 
Wenn ohne Eigenkapital eine Geschäftsidee gestartet wird, ist die Planung besonders wichtig. Unter Eigenkapital zum Selbstständig machen versteht man die finanziellen Mittel zur Gründung eines Unternehmens. Wie macht man sich selbstständig ohne den Einsatz von Eigenkapital? Der Schritt in die Selbstständigkeit sollte gut überlegt sein ...