Machine Learning

This course consists of Machine Learning fundaments, its popular algorithms and its implementation using Scikit Learn.

3500+ Students

Description

Data is a new oil, and almost all of companies are using data in different functoin units like sales and marketing, finding patterns, product research etc. Its usage covers all of the industries. There is a huge demand of data scientists around the world, and Data Science is call job of future. Machine Learning is fundament of Data Science, where data is fit into different algorithms to find patterns and making observations. In this course of Machine Learning, we will covers fundamentals of Machine Learning, its key components like Supervised Learning and Unsupervised Learning, its key componnets like Regression, Classification, Clustering, Neural Networks etc. We will also see implementation of Machine Learning theory and algorithms using Scikit Learn (Sklearn). This course consists of video study material, practice module and doubt support from our teaching team.

Course Requirement

Course Structure

  • Introduction
  • Linear Regression with One Variable
  • Linear Algebra Review
  • Linear Regression with Multiple Variables
  • Octave/Matlab Tutorial
  • Logistic Regression
  • Regularization
  • Neural Networks: Representation
  • Neural Networks: Learning
  • Advice for Applying Machine Learning
  • Machine Learning System Design
  • Support Vector Machines
  • Unsupervised Learning
  • Dimensionality Reduction
  • Anomaly Detection
  • Recommender Systems
  • Large Scale Machine Learning
  • Application Example: Photo OCR

Students Testimonials

Great info that was clear and concise. It will surely help me improve my career prospects!
"Rahul Sharma "
Each section describes a guide on how to write an ultimate resume. I recommend the Xamnation learners to try this especially if you need to broaden your knowledge and new beginners.
"Shruti "
Detailed and useful course. Recommended
"Shubham"

yes this course was a good match for me because i actually learned things i had no clue about which will help me later and to also teach others.
"Vivek Mehta"

FAQ

Our course is designed to cover fundamentals of machine learning, knowledge of algorithms and implementation. We believe after finishing this course, you can solve any machine learning problem yourself, and will be job ready in Data Science.

Yes, we covers 100% of machine learning syllabus

Yes, we will provide 3 full assignments along with 10 mock tests

Yes, you can start this course. You need to have understanding of Python langauge and knowledge of Python

Our teaching team comprises of IIT IIM graduates who are working in leading companies like Flipkart, Airtel as Data Science head.

An average student finish this course in 2 months