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Python Machine Learning Build Real-World AI Projects
Rating: 4.4 out of 5(58 ratings)
8,150 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
English [Auto],

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.

Course content

3 sections • 8 lectures • 1h 57m total length

  • video16:47
  • video26:22
  • video35:43

    Learn Python data structures for text search, including bag-of-words and tf-idf tokenization, and master indexing with lists and tuples, multi-dimensional arrays, and data filtering.

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

  1. Toxic Comment Classification
    Build an NLP model that detects and classifies toxic or abusive comments automatically.

  2. 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.

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