- NumPy
- SciPy
- Pandas
- SciKit
- Matplotlib
- Seaborn

- Linear Kernel
- Polynomial Kernel
- Radial basis Kernel
- Sigmoid Kernel

For Example: if you want to predict whether a particular candidate will win the quiz or not. In this case, the result of prediction is binary i.e. 0 or 1 (Win/Lose). What are the important skills to have in Python with regard to data analysis? Here are some of the important skills nedded while performing data analysis using python.

- Knowledge of in-built data types especially lists, dictionaries, tuples, and sets.
- Mastery of N-dimensional NumPy Arrays.
- Understanding of Pandas dataframes.
- Able to perform element-wise vector and matrix operations on NumPy arrays.
- You must know the use of Anaconda distribution and the conda package manager.
- Knowledge of Scikit-Learn.
- Able to write small, clean functions (important for developers), preferably pure functions that donâ€™t alter objects.
- Know how to profile the performance of a Python script and how to optimize bottlenecks.

You can easily tackle any problem in data analytics and machine learning if you have appropriate knowledge of the above points.

How is True Positive Rate and Recall related? Write the equation. True Positive Rate = Recall. Yes, they are equal having the formula (TP/TP + FN) Is it possible to capture the correlation between continuous and categorical variable? If yes, how? Yes through ANCOVA(analysis of covariance) technique, it is possible to capture the correlation between continuous and categorical variable.