Skip to main content

Fundamentals of Machine Learning with Python Implementation.

Online Courses Udemy - Fundamentals of Machine Learning with Python Implementation. Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved

New | Created by Three Millennials | English [Auto]

Students also bought

  • Data Science: Supervised Machine Learning in Python
  • Machine Learning Practical Workout | 8 Real-World Projects
  • Learn Data Mining and Machine Learning With Python
  • Machine Learning A-Z™: Hands-On Python & R In Data Science
  • The Complete Machine Learning Course with Python
  • 2020 AWS SageMaker, AI and Machine Learning Specialty Exam

Preview this course GET COUPON CODE


Hello there! Welcome to Fundamentals of Machine Learning with Python Implementation. There are many courses available out there for this domain but what makes us different is that the learning in this class is gradual. All the concepts are built from scratch to give students a fair idea of how various algorithms work in addition to live demonstrations
In this course, students will acquire a good understanding of basic concepts of machine learning. The course also introduces students to deep learning (neural nets) and also artificial intelligence. The concepts are developed from scratch to make students well equipped with all the basics and math involved with all machine learning algorithms
Some concepts we cover include
Various types of learning like supervised, unsupervised and reinforcement learning.
Various supervised learning algorithms like linear and logistic regression.
Clustering techniques.
A brief introduction to Neural Nets.
Parameter tuning, data visualization and accuracy estimation techniques
Reinforcement learning techniques like Q-learning and SARSA
Deciding which algorithm fits for a given problem

Knowing all of these techniques will give an edge to the developer in order to solve many real world problems with high accuracy.

Free Coupon Discount Udemy Courses
Comment Policy: Please write your comments that match the topic of this page's posts. Comments that contain links will not be displayed until they are approved.
Open Comments
Close comment