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Machine Learning with Python - All-in-One Bootcamp

Learn complete fundamentals of Machine Learning using Python, with hands on experience.

  GreyCampus Inc.

   Machine Learning, Python, Development

Language - English Published on 10/2021

Description

GreyCampus is an online training platform, that has been in this field for more than 12 years. Before we set up a curriculum, we ensure that the learner understands the core fundamentals of any course they opt for. That's why our curriculum begins at the basics and ends at how to deal advance level topics.

Python is a powerful tool used to analyse data, create beautiful visualisations, and use powerful machine learning algorithms!

Did you know that DataScience is marked as No.1 in-demand job role in Glassdoor.  This course is designed for both beginners with some programming experience or experienced developers looking to kick start career in Data Science!

In this 15 hours course, you will be learning Machine Learning with Python through many live examples, get introduced to various topics like 

  • Linear Regression

  • Decision trees 

  • Deep Learning 

  • Market Basket Analysis

  • Time Series Analysis

And much more topics that would enable you to deal with real time projects related to Machine Learning. 

Along with this all we will be providing you with mock exams, assessments, quizzes, a mini project and much more study material for reference and practice.

By the end of this course you will be able to apply for jobs related to data science, become a data analyst, deal with real time projects with confidence.

What Will I Get ?

  • Introduction to Machine Learning.
  • Introduction to Linear Regression.
  • Master Linear Regression (Single & Multiple).
  • Hands-on Decision Tree and Random Forest Training.
  • Introduction to K-nearest Neighbors (KNN) Algorithm.
  • Master Support Vector Machine (SVM) Models.
  • Understanding the differences between decision tree and random forest.
  • Master Scikit-learn for Python Programming.
  • Learn Regression & Classification Evaluation Metrics.
  • Introduction to Time Series Analysis.
  • Hands-on Time Series and Market Basket Analysis.
  • Natural Language Processing In Machine Learning.
  • Dependency Parsing and Named Entity Recognition In Natural Language Processing.
  • Introduction to Deep Learning.
  • Learn to Run Deep Learning Projects.

Requirements

  • There are no prerequisites. Anybody interested in understanding the concepts of machine learning with python can take this course.

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