Data Analytics and Machine Learning with Julia

₹ 6000

Prateek Mishra
Founder & Chief of TechSim+
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Categories
AI & ML Courses

Overview

  • Lectures 30
  • Duration 30 Days
  • Starting
  • MemberShip Yes
  • Projects Yes
  • Skill level Advanced
  • Language English
  • Assessments Yes
Course Description

Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner.

This course will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game.

This course contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will learn Supervised and UnSupervised Machine Learning, Data Analytic, Image Processing and lot more.

Learning Outcomes

Curriculum


  • Step - 1: The Groundwork – Julia's Environment
  • Step - 2: Data Munging or Data Analysis
  • Step - 3: Making Sense of Data Using Visualization
  • Step - 4: Data visualization using Gadfly
  • Step - 5: Supervised Machine Learning
  • Step - 6: Unsupervised Machine Learning
  • Step - 7: Creating Ensemble Models
  • Step - 8: Collaborative Filtering and Recommendation System

Instructor

Prateek Mishra
Founder & Chief of TechSim+

Prateek is an entrepreneur and thought Leader in Artificial Intelligence deep-tech industries. He is a leading trainer with expertise in AI, Machine Learning, Data Analytic, Deep Learning, Python, Embedded and IOT, Julia Programming, Blockchain and Tableau. Prateek has Successfully conducted 200+ workshops.

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