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Machine Learning with Python Rated 4.5/5 based on 11856 customer reviews

Machine Learning Using Python Training in Melbourne, Australia

Learn how to arrive at lucrative business decisions by using Python and machine learning with ways to use Python packages to data analysis applications

  • 40 hours of Instructor led training
  • Basic to Intermediate level
  • In-depth hands-on classes
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Modes of Delivery

Key Features

40 hours of Instructor led sessions
Immersive hands-on training
Learn data processing & analysis with python and Hadoop
Learn to create accurate data science models and use Python libraries effectively
Understand how Python works in Hadoop distributed File System
Develop analytical apps with Python advanced concepts
Our experts will guide you in implementing M/L concepts for future projects

Description

Zeolearn academy brings you a comprehensive, hands-on introduction on Python basics and its use in data analytics.

Over the past few years, big data and its analysis have grown exponentially and changed the way businesses operate. Python has emerged as a strong contender for carrying out predictive analysis on Big Data, because of its syntax, clarity, and easy readability. This workshop focuses on how you can use Python to carry out data processing and analysis and arrive at complex computations by combining it with Hadoop. We assure you that Participants will learn extensively about Pandas, Matplotlib, Scipy and Numpy, and the IPython toolkit through a well-paced and informative coaching that places extensive emphasis on hands-on practical sessions from our Machine Learning with Python course. Our highly qualified and certified trainers bring their own experiences and style to the Machine Learning with Python training. The fee we are charging for Machine learning certification is affordable and course completion certificate will be issued on successful completion of course. Register today and get access for your class study materials.

Here’s what you will learn!

  • The importance of data analysis and why it so important in this age and time
  • How to predict future outcomes and arrive at lucrative business decisions by using Python and machine learning and applying predictive algorithms to data
  • How to create accurate data science models and use Python libraries such as Numpy, Scipy, and Matplotlib effectively
  • How Python works in the Hadoop distributed file ecosystem, PIG and Hive
  • To use Python packages for data analysis applications

Prerequisites:

Programmers with Python background will find this course beneficial.

Curriculum

  • Python installation
  • Data types in python
  • Basic operations and functions
  • Introducing numpy
  • Vector matrix arrays
  • Plotting and visualization
  • Numpy for pandas
  • Playing around pandas series
  • Playing around pandas data frame
  • Working on dataset In pandas
  • Combining reshaping data
  • Grouping and aggregating data
  • Definition of machine learning
  • Types of machine learning
  • Few examples on machine learning implementations
  • Machine learning: the problem setting
  • Loading an example dataset
  • Learning and predicting
  • Model persistence
  • Conventions
  • Data visualization using pandas
  • Using matplotlib
  • Using seaborn

Frequently Asked Questions

Data analysis is hot! It is a combination of different disciplines such as statistics, mathematics, computer science and machine learning and is used on data with the intention of arriving at useful insights and supporting business decision making. Data analysis has changed the way organizations operate and is applicable in a variety of fields from retail and healthcare to entertainment and hospitality. Python on the other hand is a multi-domain, high-level, programming language highly preferred for its easy readability, vast array of libraries and reliability. Python has emerged as the most convenient language for data analysis and machine learning. If you want to pursue a career in data analysis, then learning Python is a must as data analysis with Python has several advantages and is what organizations will use going forward. 

  • Advanced data structures and algorithms available in Scipy, Numpy and Pandas
  • Plotting using Matplotlib
  • Using Scipy, Numpy and Pandas for data modeling and analysis
  • Using the above libraries to create data frames, grouping, processing data and perform numerical and scientific analysis using Scipy, Numpy and Pandas
  • Creating classifiers, clusters
  • Strategies to deal with reducing dimensions, selecting appropriate data models
  • Using analytics libraries with Hadoop Map Reduce, PIG and HIVE

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use Python packages to perform data analysis with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Web masters, Programmers, Professional Software Developers, Scientists, Analysts and Entrepreneurs and anyone who wishes to get in-depth knowledge of Python will find value in attending this course.

One must have:

  • Operating system such as Mac OS X, Windows or Linux
  • Good Text / JavaScript Editor (Notepad++ / SublimeText / Brackets / Atom )
  • A modern web browser such as Chrome
  • Internet Connection

Machine Learning with Python Course in Melbourne

 

Machine learning with Python

Deep Dive into Python concepts for Machine Learning and processing of data to change the operations of your businesses. Get handy this multi-domain, high-level, powerful programming language to see how it works with Data Analysis and Machine Learning. Any Programmers, Analyst, Scientist, and Developer can Enrol in this python machine learning training in Melbourne to predict future insights and take better business decisions using Python and machine learning. Learn how to perform computations using Hadoop.

All the Web Developers, Data Analysts, Webmasters, Software Programmers and Entrepreneurs find this python machine learning training in Melbourne advantageous to learn how to execute Python in their work environment. The top companies which use Python are Youtube, Yahoo, IBM, NASA, Dropbox, Mozilla etc.

What makes you learn Python?

Zeolearn charges a reasonable fee to get through you from this python machine learning course in Melbourne. Register into this academy to pursue this online course and avail their courseware free of cost. Learn through their comprehensive study material and interactive practice sessions. The Zeolearn professional instructors help you with their 40 hours of online training to implement Python packages into data analysis applications. The leverage provided by the academy. All the participants who want to master this python machine learning course in Melbourne should have a basic knowledge of operating system with JavaScript Editor. Leverage their best coaching to complete your course with informative workshops, demo exercises and real-world experiences of trainers.

Soft skills learned from this Certification Program:

The working professionals can join the machine learning with python online classes in Melbourne according to your scheduled time slots on weekdays or weekends. Take privilege of these classes to have one to one interaction with your instructors that help you learn Python programming language used in fields from retail to healthcare and entertainment to hospitality.

  • Learn how to install Python to create accurate data science modelling and analysis.
  • Implement Python libraries (Scipy, Numpy and Pandas) for numerical and scientific analysis, data processing, grouping and creating data frames.
  • Develop analytical apps using Python advanced concepts and apply its packages combining with Machine Learning for analysis of data with Hadoop.

Brighten your career opportunities with Zeolearn’s python machine learning certification in Melbourne to find a lucrative job as Data Analyst.

 

 

 

 

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