Machine Learning

Learn how to utilize NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Regression, NLP, Preprocessing and more.

Advanced 5(3 Ratings) 3 Students enrolled English
Created by Nikhil .
Last updated Sat, 12-Feb-2022
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Course overview

Machine Learning is the study of getting PCs to act without being unequivocally customized. In the previous decade, AI has given us self-driving vehicles, functional discourse acknowledgment, powerful web search, and an unfathomably worked on comprehension of the human genome.

 

Machine Learning, regularly called Artificial Intelligence or AI, is one of the most intriguing spaces of innovation right now. We see day by day reports that envoy new leap forwards in facial acknowledgment innovation, self driving vehicles or computers that can have a discussion actually like a genuine individual. AI innovation is set to change practically any space of human existence and work, thus will influence for our entire lives, thus you are probably going to need to discover more with regards to it. Machine learning has gained notoriety for being one of the most perplexing spaces of software engineering, requiring progressed science and designing abilities to get it.

All the more critically, you'll find out about the hypothetical underpinnings of learning, yet in addition gain the reasonable skill expected to rapidly and intensely apply these procedures to new issues

This course gives an expansive prologue to AI, datamining, and factual example acknowledgment.

What will i learn?

  • Use Python for Data Science and Machine Learning.
  • Carry out Machine Learning Algorithms.
  • K-Means Clustering.
  • Logistic Regression.
  • Linear Regression.
  • Neural Networks.
Requirements
  • This course has been purely designed for Machine Learning beginners.
  • No prior experience is necessary.
  • Laptop with stable internet.
Curriculum for this course
9 Lessons 02:51:08 Hours
Introduction to Machine Learning and its tools
4 Lessons 00:46:00 Hours
  • Course Overview
    00:06:17
  • Machine Learning
    00:19:32
  • Types of ML - Supervised vs Unsupervised
    00:12:31
  • Regression vs Classification
    00:07:40
Python Fundamentals
5 Lessons 02:05:08 Hours
  • Python - Introduction & Installation
    00:34:08
  • Python - Data Types
    00:16:15
  • Python - List
    00:42:05
  • Python - Dictionary
    00:17:34
  • Python - Conditionals
    00:15:06
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About instructor

Nikhil .

41 Reviews | 304 Students | 17 Courses
Student feedback
5
3 Reviews
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Reviews

  • The algorithms which are taught in the class are very much suitable for the recent industry trends.
  • subham singh
    Very interesting material with a lot of uses available.
  • Likkitha Bomisetty
    Great training course content.
₹ 9000 ₹ 7000
Includes: