Machine Learning A-Z with Python with Project (Beginner)

Complete Machine Learning Course with Python for beginners

Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

What you’ll learn

  • Master Machine Learning on Python.
  • Make powerful analysis.
  • Make accurate predictions.
  • Make robust Machine Learning models.
  • Use Machine Learning for personal purpose.
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem.
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA.
  • Clean your input data to remove outliers.

Course Content

  • Foundation –> 1 lecture • 2min.
  • Introduction to Machine Learning –> 1 lecture • 10min.
  • Applied Statistics –> 8 lectures • 1hr 29min.
  • ntroduction to Python –> 9 lectures • 5hr 28min.
  • Let’s dig Machine Learning –> 1 lecture • 18min.
  • Regression –> 1 lecture • 1hr 3min.
  • Classification –> 5 lectures • 2hr 17min.
  • Clustering –> 3 lectures • 38min.
  • Ensemble ML –> 2 lectures • 39min.
  • Our Project (Recomendation System) –> 2 lectures • 1hr 7min.

Machine Learning A-Z with Python with Project (Beginner)

Requirements

Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. At the end, you’ll be given a final project to apply what you’ve learned!

Our Learner’s Review: Excellent course. Precise and well-organized presentation. The complete course is filled with a lot of learning not only theoretical but also practical examples. Mr. Risabh is kind enough to share his practical experiences and actual problems faced by data scientists/ML engineers. The topic of “The ethics of deep learning” is really a gold nugget that everyone must follow. Thank you, 1stMentor  and SelfCode Academy for this wonderful course.