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u Graph 3: 3- Nearest Neighbor
In graph 3, the value of k is 3 in which two dots depict the taste of potato “Sweet” and one dot depict
the “Not Sweet” taste. In such a case, the machine can easily predict that the potato is sweet because a
parameter “Sweet” taste is in majority.
KNN works on the basic principle i.e. predicting unknown values on the basis of the known values. In simple
words, a KNN model uses KNN algorithm to calculate the distance between all the known points with the
unknown point and takes up the K number of points whose distance is minimum. After that, predictions are
made on the basis of these points.

K Keyey TTermserms

u Data Science
The term “Data Science” refers to combining statistics, machine learning, and Python programming to
analyze and interpret complex data.

u AI Project Cycle
The AI project cycle involves scoping the problem, data acquisition, exploration, modeling, evaluation, and
deployment.

u Data Acquisition
Gathering relevant data for the AI project, essential for building intelligent systems.
u Data Exploration
Preparing and exploring the dataset before training the model.

In a NutshellIn a Nutshell

• Data science is a domain which employs various methods and theories of various fields a such as Mathematics,
Statistics, Computer Science, and Information Science.
• In the financial industry, data science is used to detect anomalies and frauds.
• Data Science can be widely used in developing AI applications because it gives a strong base for data analysis
in Python.
• An AI model predicts optimum results on the basis of data which is being fed by the programmer in different
formats.
• CSV is an acronym of Comma Separated Values which allows data to be saved in a tabular format.
• NumPy, an acronym of Numerical Python, is the fundamental package for scientific computing with Python.
• Pandas is a popular Python package for data science because it offers powerful, expressive and flexible data
structures that make data manipulation and analysis easy, among many other things.
• In Python, data type declaration of variable is not required because Python is completely object oriented.
• Matplotlib is one of the most popular Python packages used for data visualization. It has a platform
independent library for making 2D plots from data in arrays.
• The data visualisation in the form of charts and graphs helps us to make a thought of clarity about trends
and patterns

• Datasets are important for visualising data. Thus, datasets in tabular form must be saved with .csv file
extension.

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