Scikit Learn
Data Analysis in Supply Chains
Data Science
Development
Key Components of Data Analysis Frameworks
Elements
Leveraging Data for Decisions
Data Analytics for Predictions
Insight Analytics 
Predictive Analytics Uses statistical models and machine
learning techniques to forecast future outcomes based on historical data
...Machine Learning Frameworks: Libraries such as TensorFlow and
Scikit-learn are used for predictive analytics
...
Data Analysis and Strategy 
Predictive Analysis Uses statistical models and machine
learning techniques to forecast future outcomes
...Machine Learning Frameworks: Libraries like TensorFlow and
Scikit-learn for predictive modeling
...
Data Analysis in Supply Chains 
Methods: Time Series Analysis Causal Models Machine
Learning Techniques 2
...TensorFlow,
Scikit-learn)
...
Data Science 
It combines various techniques from statistics, data analysis, and machine
learning to analyze and interpret complex data sets, enabling organizations to make informed decisions
...Machine Learning Libraries:
Scikit-learn, TensorFlow, and Keras are commonly used for building predictive models
...
Development 
Predictive Analytics Predictive analytics is a subset of data analytics that utilizes statistical algorithms and machine
learning techniques to identify the likelihood of future outcomes based on historical data
...Machine Learning Frameworks: Libraries like TensorFlow and
Scikit-learn facilitate the development of predictive models
...
Key Components of Data Analysis Frameworks 
Data Modeling Data modeling involves applying statistical and machine
learning techniques to analyze the data
...Machine Learning Libraries: Python libraries such as
Scikit-learn and TensorFlow for advanced modeling
...
Elements 
Python: Widely used for data analysis and machine
learning, with libraries such as Pandas and
Scikit-learn
...
Leveraging Data for Decisions 
Machine
Learning Platforms: Platforms like TensorFlow and
Scikit-learn facilitate predictive analytics
...
Data Analytics for Predictions 
Overview Predictive analytics employs a variety of methods from statistics, machine
learning, and data mining to analyze current and historical facts to make predictions about future events
...Machine Learning Platforms: Frameworks like TensorFlow and
Scikit-learn for developing predictive models
...
Understanding Analytics in Business Context 
Predictive Analytics: Predictive analytics uses statistical models and machine
learning techniques to forecast future outcomes based on historical data
...Machine Learning Frameworks: Libraries such as TensorFlow and
Scikit-learn provide tools for building predictive models and performing advanced analytics
...
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 ...