Hands on Pandas session
Points to be cover in the session 1. What is Machine Learning? The ability of Machines to understand by themselves with the help of algorithms and programming languages. 2. What are the libraries that we use in the Machine Learning process? For End to End Machine Learning process, the following libraries are used. Numpy -> To do computational works Pandas -> To analyse the data and performing the data conversion. Matplotlib -> To do visual analysis of data Seaborn -> To do the visual analysis of data with more stylished way Sklearn -> to built models and to do model optimization 3. What is Pandas? Pandas is a fast, flexible and powerful tool and easy to use open source data analysis and manipulation tool, built on top of Numpy. 4. Why Pandas? Pandas is very convenient to load the large scale of data and can be processed and analyse such as tabular data using SQL like queries. And in conjunction with Matplotlib and seaborn, plotly and bokeh, Pandas provides a wide range of opportunities of visualization 5. How to use Pandas? Pip install pandas Import pandas as pd 6. Hands on session regarding Pandas This can be done with the help of slides and Jupyter Notebook code.
I am Aarthi. And I have nearly 3 plus years of experience in IT Industry mainly analytics domain. I have good amount of knowledge in Python, Machine Learning and Data Visualization and also, I am experienced in SQL, Analyzing the problem statement and jot down the business problems into multiple usecases, so that we can create a solution for each use cases.