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Machine Learning with Python

Machine Learning with Python

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Course Overview

Key Feature

Course outline

Learning uses

Prerequisites

Machine Learning with Python is one of the most important new technologies to emerge into popular consciousness in the last decade, transforming fields from consumer electronics & healthcare to retail. This has led to intense curiosity about Machine Learning field among many students & working professionals in the field. Machine Learning Python | Machine learning using Python | Python machine learning training | Machine Learning Python Certification.

Machine learning with Python is a one of the field of computer science that gives computer systems the ability to “learn” progressively improves performance on a specific task with data.

Machine Learning with Python course plunged into the basics of machine learning using an approachable, & well-known, programming language. You’ll learn about Supervised Vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

  • 4 Days / 32 Hrs For Classroom or Online Training
  • Soft copy of Study materials
  • Course Completion Certificate
  • Flexibility to choose classes
  • Training by Certified World class trainer
  • Industry wise – Real life practical examples
  • Teaching assistance to support your learning journey
  • Learn the required skills using Technocerts.

Introduction to Artificial Intelligence and Machine Learning

  • Artificial Intelligence Preview
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning

Techniques of Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning and Reinforcement Learning
  • Some Important Considerations in Machine Learning

Math Refresher

  • Eigenvalues, Eigenvectors, and Eigendecomposition
  • Concepts of Linear Algebra
  • Introduction to Calculus
  • Probability and Statistics

Regression

  • Regression and Its Types
  • Linear Regression: Equations and Algorithms

Classification

  • Classification
  • Logistic regression
  • K-nearest neighbors
  • Support Vector Machines
  • Kernel SVM
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier

Unsupervised learning – Clustering

  • K-Means Clustering
  • K-means Clustering
  • Clustering Algorithms

Introduction to Deep Learning

  • Meaning and importance of deep learning
  • Artificial Neural networks
  • TensorFlow

Some of the top MNCs that are using Machine learning:

Apple, Pindrop, Salesforce, Intel, Microsoft, Baidu, and Google these are the top 7 companies which are using Machine Learning.

Target audience for Machine Learning with Python training:

The target audience for this course includes students and professionals who are interested in learning robotics & biometrics This Machine learning with python course is also for people who are very keen about learning Artificial Intelligence & Machine learning with Python.

  • Basic knowledge of mathematics is required especially linear algebra, calculus, probability, Matrices.
  • Some basic knowledge of coding
  • If you some knowledge of a language like R, Python it will have an extra edge.
  • At least high school level math skills will be required

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