Season 7: Real-World Data Science Project and Deployment

Goal: This season is all about applying everything we’ve learned so far! We’ll go from planning a full-fledged data science project to cleaning data, building models, and deploying them in a real-world environment. ????

?? Episode Highlights

1?? Understanding the Data Science Project Workflow

• How to define project goals, collect data, and outline the steps for a successful project.

2?? Data Cleaning and EDA on a Real Dataset

• Preparing raw data for analysis and uncovering patterns using Exploratory Data Analysis (EDA).

3?? Building and Evaluating a Machine Learning Model

• Model selection, training, fine-tuning, and performance evaluation.

4?? Model Deployment Basics

• Introduction to Flask, API creation, and serving models locally.

5?? Deploying Models in the Cloud

• Hosting models on AWS, Heroku, or other cloud platforms for real-world use.

?? This season is all about practical implementation! By the end, you’ll have the knowledge to deploy your own ML models and build full-scale projects. ??

Are you ready for this exciting journey? Let’s dive in! ??