Answers

 some steps for making a decision tree:  Identify the problem Outline the main decision Add possible choices Brainstorm possible outcomes Structure the decision tree Assign probabilities Determine the potential outcome Analyze and select the best decision Review and update the decision tree https://learntodatascience.com/introduction-to-decision-trees-a-supervised-machine-learning-algorithm/ https://medium.com/analytics-vidhya/decision-trees-explained-in-simple-steps-39ee1a6b00a2 https://miro.com/diagramming/decision-tree-analysis-steps/

Machine learning is a vital component of data science, but becoming a data scientist requires a mix of skills. Understanding ML algorithms, data preprocessing, model selection, and interpretation is essential. Yet, expertise in statistics, programming, data manipulation, visualization, and domain knowledge are equally crucial for a well-rounded data science role. The Importance of Machine Learning

Data science can be difficult because it requires a strong foundation in math, statistics, and computer programming. Data scientists also use a variety of tools that need to be mastered. https://www.simplilearn.com/is-data-science-hard-article#:~:text=Conclusion,%2C%20and%20problem%2Dsolving%20skills. https://www.knowledgehut.com/blog/data-science/is-data-science-hard-to-learn

Data science interviews can be difficult because they require candidates to demonstrate a variety of skills. These skills include: Technical skills (Programming Skills) Problem-solving Communication Data Analysis and visualization Machine learning and deep learning Ability to use math and statistics to create business solutions follow the below link for more reference. How to Prepare for data

Steps for building a recommendation engine using machine learning are: Identify the problem and set goals Collect and preprocess data Perform exploratory data analysis Engineer features Select a model Train the model Tune hyperparameters Evaluate the model Follow the below link for reference: How to Build a Book Recommendation System HOW TO BUILD AN AI-POWERED

Every month  Microsoft  update the new feature in power BI. Some of the updated features of this month are DAX Query view, Semantic Model Scale-out, and Advanced Filtering for Paginated Reports. Follow below link for more details: Microsoft Power BI blog: https://powerbi.microsoft.com/en-us/blog/power-bi-november-2023-feature-summary/ Download new version of power BI desktop: https://powerbi.microsoft.com/en-us/desktop/?WT.mc_id=Blog_Desktop_Update

Data science interview preparation depend on your skills and job level. some Important tips are: prepare or data science technical interview (skills mentioned in job vacancy) Understand about company and products. (visit company website) Developed Confidence Speak truth (If you don’t know the any answer). Go to the below link for more: https://www.datacamp.com/blog/data-science-interview-preparation