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What is data preprocessing steps in machine learning? Data preprocessing is a process of preparing the raw data and making it suitable for a machine…
What are limitations of logistic regression? The major limitation of Logistic Regression is the assumption of linearity between the dependent variable and the independent variables.…
How are word Embeddings used? A word embedding is a learned representation for text where words that have the same meaning have a similar representation.…
What is pickle machine learning? Pickle is a module in Python used for serializing and de-serializing Python objects. This converts Python objects like lists, dictionaries,…
Can regression be used for discrete data? They are mainly a source of discrete data. As commonly used data analysis methods, such as regression analysis,…
What is TensorFlow object detection API? The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow that makes it easy to…
What multidimensional scaling tells us? Multidimensional scaling (MDS) is a technique that creates a map displaying the relative positions of a number of objects, given…
How is random forest used for forecasting? Random Forest for Time Series Forecasting Intermittent data: Intermittent demand data is one of the data types with…
How does Sklearn calculate feature importance? Feature importance is calculated as the decrease in node impurity weighted by the probability of reaching that node. The…
How do I permanently mount Google Drive in Colab? Mount your Google drive. Copy. from google.colab import drive drive.mount(‘/content/gdrive’) Change the path to the directory…