QUESTIONS:

  1. How can Numpy and Pandas be used to preprocess data for predictive analysis? Pandas and Numpy can mainly be utilized to preprocess certain data sets in CSV or JSON files to analyze certain statistical features and patterns in the dataset.
  2. What machine learning algorithms can be used for predictive analysis, and how do they differ? There are many different ML algorithms that can be used for predictive analysis. For example, there are artificial neural networks, which are networks based on the brain neuron makeup. There are also logistical regression algorithms which are more related to linearizing given datasets and analyzing variable relationships.
  3. Can you discuss some real-world applications of predictive analysis in different industries? In the sports industry, for example, predictive analysis is used to analyze certain matchups between players and teams, player statistics, and upcoming statistics that’ll be important in predicting the outcome of a game.
  4. Can you explain the role of feature engineering in predictive analysis, and how it can improve model accuracy? Feature engineering is where certain features are extracted from raw data. This can improve model accuracy, as it can focus on a single variable and analyze that relationship and its affect on a certain model’s training.
  5. How can machine learning models be deployed in real-time applications for predictive analysis? Real-time applications can utilize ML models to fuel useful user interaction. For example, in streaming services such as Netflix, Amazon Prime Video, etc, ML models can be utilized to suggest things to watch based on predictive analysis models using data of things that a user has already watched.
  6. Can you discuss some limitations of Numpy and Pandas, and when it might be necessary to use other data analysis tools? Pandas is not as memory efficient, and sometimes, it cannot handle larger datasets. It is also hard to learn Pandas/Numpy.
  7. How can predictive analysis be used to improve decision-making and optimize business processes? Predictive analysis will stimulate business growth by allowing them to make more safe financial decisions based on past trends. Furthermore, they can utilize predictive analysis to help them cater to customer needs more adequately to increase profits.