Download Udemy – Machine Learning Essentials (2023) – Master core ML concepts 2023-2

Download Udemy - Machine Learning Essentials (2023) - Master core ML concepts 2023-2


Machine Learning Essentials course (2023) – Master core ML concepts. Read on for a quick start in the world of machine learning and artificial intelligence? This hands-on course is designed for absolute beginners as well as experienced programmers who want to start using machine learning to solve real-life problems. You will learn how to work with data and train models that are capable of making intelligent decisions. Data science is one of the most rewarding jobs of the 21st century, with 500 tech companies paying a lot for data scientists! Data science as a career is highly valued and offers one of the highest salaries in the world. Unlike other courses that only cover library implementations, this course is designed to give you a solid foundation in machine learning by covering the mathematics and implementations from scratch in Python for most statistical techniques. This comprehensive course is taught by Prateek Narang & Mohit Uniyal who are not only popular lecturers but have worked in the fields of software engineering and data science with companies like Google. They have trained thousands of students in several online and face-to-face courses for more than 3 years. We provide you with this course at a fraction of its original cost! This is a practical course, we not only deal with theory but also focus on practical aspects by building more than 8 projects. With more than 170+ high-quality video lectures, easy-to-follow explanations, and a complete code repository, this is one of the most detailed and robust courses to learn data science. Some of the topics you will learn in this course.

  • logistic regression
  • Linear regression
  • Principal component analysis
  • Naive Biz
  • Decision trees
  • Bagging and strengthening
  • K-NN
  • K-Means
  • Neural Networks

Some of the concepts you will learn in this course.

  • Convex optimization
  • Overfitting vs Underfitting
  • Bias Variance Exchange
  • Performance Criteria
  • Data preprocessing
  • Feature engineering
  • Working with numerical data, images and textual data
  • Parametric techniques versus non-parametric techniques

What you will learn in the course Machine Learning Essentials (2023) – Master core ML concepts

  • Jumpstart the world of AI and ML

  • Machine learning mathematics

  • Regression and classification techniques

  • Linear and logistic regression

  • K-Nearest Neighbors, K-Means

  • Simple Bayes, text classification

  • Decision trees and random forests

  • Group training – baggage and reinforcement

  • 8+ hands on projects

This course is suitable for people who

  • Programmers who are curious about machine learning and artificial intelligence
  • Professionals who want to build a career in data science
  • Developers who want to learn a new skill and build ML-based projects
  • University and college students who want to deepen their understanding of machine learning

Machine Learning Essentials course specifications (2023) – Master core ML concepts

  • Publisher: Udemy
  • teacher: Mohit Uniyal And Prateek Narang
  • Training level: beginner to advanced
  • Training duration: 27 hours and 57 minutes
  • Number of courses: 198

Course headings Machine Learning Essentials (2023) – Master core ML concepts in Tari 2023/5

Machine Learning Essentials course prerequisites (2023) – Master core ML concepts

  • Python Programming
  • Basics of Numpy, Pandas, Matplotlib

Course images

Machine Learning Essentials (2023) - Master core ML concepts

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 3 GB

Download part 2-3 GB

Download part 3 – 3 GB

Download part 4 – 3 GB

Download part 5 – 3 GB

Download part 6 – 283 MB

File(s) password:


15.2 GB

Be the first to comment

Leave a Reply

Your email address will not be published.