Note: 

   

If you guys are getting coupon expired or course is not free after opening the link, then it is due to the fact that course instructors provide only few hundreds or thousands of slots which get exhausted. So, try to enroll in the course as soon as it is posted in the channel. The Coupons may expire any time for instant notification follow telegram channel

New customer offer! Top courses from $13.99 when you first visit Udemy

A beginners guide to learn Machine Learning from scratch. Learn various algorithms and techniques using ML libraries.

What you’ll learn

  • Learn how to use NumPy to do fast mathematical calculations
  • Learn what is Machine Learning and Data Wrangling
  • Learn how to use scikit-learn for data-preprocessing
  • Learn different model selection and feature selections techniques
  • Learn about cluster analysis and anomaly detection
  • Learn about SVMs for classification, regression and outliers detection.

What you’ll learn

  • Learn how to use NumPy to do fast mathematical calculations
  • Learn what is Machine Learning and Data Wrangling
  • Learn how to use scikit-learn for data-preprocessing
  • Learn different model selection and feature selections techniques
  • Learn about cluster analysis and anomaly detection
  • Learn about SVMs for classification, regression and outliers detection.
Curriculum
5 sections • 16 lectures • 6h 49m total length

Introduction to Machine Learning & Data Wrangling
  • Essential NumPy
  • Essential Pandas for Machine Learning
Linear Models, Trees & Preprocessing
Model Evaluation, Feature Selection & Pipelining
Bayes, Nearest Neighbours & Clustering
SVM, Anomalies, Imbalanced Classes, Ensemble Methods
This course includes:
  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Description

If you are looking to start your career in machine learning then this is the course for you.

This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.

This course has 5 parts as given below:

  1. Introduction to Machine Learning & Data Wrangling
  2. Linear Models, Trees & Preprocessing
  3. Model Evaluation, Feature Selection & Pipelining
  4. Bayes, Nearest Neighbours & Clustering
  5. SVM, Anomalies, Imbalanced Classes, Ensemble Methods

For the code explained in each lecture, you can find a GitHub link in the resources section.

Who this course is for:
  • Beginners who want to become a data scientist
  • Software developers who want to learn machine learning from scratch
  • Python developers who are interested to learn machine learning
  • Professionals who want to start their career in Machine Leaning

[maxbutton id=”1″ url=”https://click.linksynergy.com/deeplink?id=RMSaaftCK5g&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fstep-by-step-guide-to-machine-learning-course%2F%3FcouponCode%3D33884000BE5F7A09213D” ]