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Keep shoppingPython Machine Learning Build Real-World AI Projects
7,581 students
Python Machine Learning Build Real-World AI Projects
Build & Deploy Real-World Machine Learning Projects Using Python, Flask, Django, and Heroku. Hands-on Data Science
Created byAkhil Vydyula
Last updated 4/2026
English
What you'll learn
- Understand and implement core machine learning algorithms for classification and regression tasks.
- Gain hands-on experience and learn how to apply machine learning techniques in real business and industrial problems.
- Learn how to use Seaborn and other Python libraries to create insightful and professional statistical plots.
- Set up your Python development environment with Anaconda and start building data science projects efficiently.
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Course content
3 sections • 8 lectures • 1h 57m total length
Requirements
- Some experience with Python is recommended, but no prior machine learning knowledge is necessary. We'll guide you through each concept step by step.
- You should be comfortable with basic algebra and statistics. While this course simplifies the math concepts, a basic understanding will help with advanced topics.
- A passion for data and problem-solving will help you succeed. No previous experience in machine learning is required, but an eagerness to learn will keep you motivated.
Description
Master Real-World Machine Learning Projects with Python
Are you ready to take your Machine Learning and Data Science skills to the next level?
In this course, you will build, deploy, and showcase real-world projects — the kind that employers and clients look for.
Whether you are aiming for a career in Machine Learning, looking to upgrade your Data Science skills, or simply want to create powerful AI applications, this course will give you practical, hands-on experience.
What You Will Learn
Python Programming for Data Science and Machine Learning
Building Classical Machine Learning Algorithms from scratch
Natural Language Processing (NLP) for text classification
Time Series Forecasting and Prediction
Developing web applications using Flask and Django
Deploying Machine Learning models on Heroku
Real-World Projects Included
Toxic Comment Classification
Build an NLP model that detects and classifies toxic or abusive comments automatically.UK Road Accident Time Series Forecasting
Analyze and forecast accident trends using time series data to derive meaningful insights.
Why Enroll in This Course
Hands-on practical learning by building and deploying real applications
Strong portfolio projects to showcase to potential employers
Skills that align with the latest industry demands in Data Science and AI
Easy-to-follow instructions even for beginners with minimal experience
Who This Course Is For
Beginners who want to start a career in Machine Learning and Data Science
Students and professionals aiming to gain practical project experience
Developers looking to strengthen their Python and AI development skills
Anyone interested in building and deploying real-world Machine Learning applications
What You Will Receive
1.5+ hours of high-quality video content
Downloadable project files and resources
Lifetime access to all course materials
Certificate of Completion to showcase your achievement
If you are serious about developing your Machine Learning skills with Python and want to build real-world projects that matter, this is the course for you.
Enroll today and start your journey toward becoming a skilled Machine Learning Engineer.
Who this course is for:
- Perfect for those who are just starting and want to dive into real-world machine learning projects.
- Ideal for professionals from non-technical backgrounds (e.g., business, marketing, finance) looking to transition into a career in data science.
- A great option for those starting their career in machine learning, or those looking to gain valuable skills for job readiness.
- Whether you’re a beginner or have some knowledge of Python, this course is designed to provide hands-on learning to all who want to understand machine learning.