2024-10-26 –, CLASS #1
Language: English
In this talk, we will explore how Python empowers data analytics to solve real-world problems effectively. We will delve into specific use cases, demonstrating how Python-based solutions can provide actionable insights. This session will offer unique perspectives based on real-life experiences, aiming to deepen the audience's understanding of Python's capabilities in the data analytics domain.
This talk will demonstrate how Python empowers data analytics, providing practical solutions to these real-world challenges through data analytics and visualization on social media data especially on Facebook. We'll show how to collect, preprocess, and engineer features using Python libraries such as pandas and numpy.
Next, we'll dive into developing predictive models with scikit-learn and TensorFlow, highlighting techniques for training robust models that can accurately forecast. We'll also cover model evaluation metrics and cross-validation to ensure reliability.
The talk will then focus on deploying the predictive models using Streamlit, creating interactive dashboards that enable real-time data visualization and prediction. We'll explore visualization techniques with matplotlib and seaborn to effectively do data analytics.
Attendees will gain insights from real-life cases, learn new approaches, and see practical examples of how data analytics and visualizations can be leveraged to enhance social media analytics
I am highly motivated to learn new things, get challenges from it and share my findings with others. Professionally, I have working in AI Engineer position for more than 2 years. Doing software engineering project and leading several person from various background, e.g: backend engineer, frontend engineer, UI/UX, DevOps engineer. My passion is developing solutions to enhance productivity for human life.