This resource packed video offers a curated list of 22 machine learning project ideas to help you build an impressive portfolio and strengthen your real world skills in data science. It covers projects across all levels including beginner, intermediate, and advanced, so there is something for everyone looking to grow in machine learning.
It starts with foundational projects like Exploratory Data Analysis, Iris Flower Classification, and Titanic Survival Prediction. As you go further, you will explore more practical projects such as image classification, sentiment analysis, stock price prediction, customer churn prediction, and real time face recognition.
For advanced learners, it offers even more exciting challenges like building your own neural network, creating an AutoML system, setting up a fraud detection model, developing a full MLOps pipeline, and working with distributed machine learning systems. There are also tasks focused on reinforcement learning, natural language processing, and image generation.
Each project is briefly explained with a timestamp to make navigation easier. This is an excellent video for learners, career switchers, or anyone looking to gain hands on experience and build a standout data science portfolio.
