Description
Machine Learning Bootcamp: Python, Projects & Deployment is a course that takes you from machine learning fundamentals to building and deploying real-world models using Python, published by Udemy Online Academy. It’s a comprehensive, hands-on program that takes you from machine learning fundamentals to building and deploying real-world models using Python. You’ll start by mastering essential data science libraries like NumPy, pandas, and Matplotlib, and learn how to preprocess, explore, and visualize datasets. The course then walks you through core machine learning techniques like regression, classification, clustering, and model evaluation, reinforcing each concept with hands-on projects where you clean data, train models, tune performance, and interpret results. Beyond model building, you’ll also learn how to deploy your machine learning applications using APIs, web frameworks, or cloud services so that your solutions can be used in real-world environments.
This is a complete, hands-on machine learning bootcamp designed to take you from Python basics to building and deploying real-world, production-ready machine learning applications. You’ll learn machine learning the right way – starting with Python and the essential mathematical foundations, working with real datasets, building models, properly evaluating them, and finally deploying machine learning systems on AWS. You’ll be able to confidently build, deploy, and explain real-world machine learning systems.
What you will learn in Machine Learning Bootcamp: Python, Projects & Deployment:
- Build machine learning models using Python, including classification, regression, and unsupervised learning.
- Understand the mathematics behind machine learning, including linear algebra, statistics, probability, and calculus with clear intuition.
- Perform data collection, EDA, preprocessing, feature engineering, and model evaluation using real-world datasets.
- Apply cross-validation, hyperparameter tuning, and model selection to build reliable and optimized ML models.
- Convert ML notebooks into Python scripts ready for model generation and delivery using FastAPI and Streamlit.
- Deploy complete, end-to-end machine learning applications on AWS EC2 with real-world workflows.
- And…
Course specifications
Publisher: Udemy
Instructors: Siddhardhan S
Language: English
Level: Introductory to Advanced
Number of Lessons: 128
Duration: 66 hours and 30 minutes
Course topics
Machine Learning Bootcamp: Python, Projects & Deployment Prerequisites
None
Pictures
Machine Learning Bootcamp: Python, Projects & Deployment introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
File password (s): www.downloadly.ir
Size
33.2 GB
