Machine Learning: Zero to Hero
Description
This hands-on Machine Learning course will take you from absolute beginner to a skilled practitioner capable of building intelligent systems. You’ll learn foundational concepts and apply them using Python, Scikit-learn, Pandas, and TensorFlow. Ideal for aspiring data scientists and AI enthusiasts, this course includes real-world projects to reinforce learning and help you build an impressive portfolio.
What you'll learn
- Understand core ML concepts like supervised and unsupervised learning
- Build models using Scikit-learn and evaluate performance
- Perform data cleaning, feature engineering, and preprocessing
- Work with libraries like Pandas, NumPy, and Matplotlib
- Implement deep learning models using TensorFlow and Keras
- Deploy machine learning models with Flask or Streamlit
Requirements
- Basic knowledge of using a computer and browsing the internet
- No prior programming or data science experience needed
- A PC or Mac with internet access and a modern browser
Requirements
- Basic knowledge of using a computer and browsing the internet
- No prior programming experience needed
- A PC or Mac with internet access and a modern browser
Curriculum
40 lectures | 10h 15mInstructors
Shubham Jain
Senior Full-Stack Developer, TopyloWith over 10 years of experience in machine learning, I have contributed to various projects ranging from academic research to real-world AI deployments. As a Senior Machine Learning Engineer at Topylo, I specialize in building intelligent systems using modern technologies such as Python, TensorFlow, and PyTorch. My goal is to help you master the skills needed to succeed in the AI and data science industry.
