Intro to Python Libraries for Data Science

Title:
Intro to Python Libraries for Data Science

Description:
I invite you to come and explore Data Science, no previous Machine Learning experience required.

I will go over the basics of data analysis with Python using the Pandas library for data modeling, Matplotlib and Seaborn libraries for data visualization, and the Scikit-learn library for Machine Learning.

I will be going over a hands on example using a Jupyter Notebook that will cover a use case for Machine Learning that will include:

• Where to find open data sets
• How to clean and explore the data
• How to convert the data into a model optimized for Machine Learning
• How to interpret the results

If you would like to follow along, please download and install the Anaconda platform which includes Jupyter.

Speaker:
Lourdes Lopez - BI Developer at CSU Stanislaus

About the Speaker:
Lourdes Lopez is from the Central Valley in California where she works as a Business Intelligence Developer. She has over 10 years of experience as a Software Developer with a focus on data. Her latest interest is data science and is passionate about mastering Machine Learning tools and techniques. She aims at inspiring other women to join her in the field of technology!