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

Machine Learning Using Python Training in Vancouver, Canada

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 Vancouver

Machine learning with Python

Python is the most popular programming languages for predictive analysis of big data. The ease of use, clarity and easy readability has made Python as one of the most preferred programming machine languages in the world. In the past few years, Python has progressed immensely and has created analytics packages such as Matplotlib, Scipy, Pandas, Numpy which has made analysing data with Python very easy. The Zeolearn academy offers the python machine learning course in Vancouver.

Benefits of the course:

Python Machine Learning Training in Vancouver offered by Zeolearn focuses on ways to use Python to carry out data processing and analysis. It tells its participants about the importance of data analysis and its significance in today’s world. By using Python, the companies can predict future outcomes and take correct business decisions by applying predictive algorithms to the data generated.

Python Machine Learning Course in Vancouver is devised in a very comprehensive way, and the participants become skilled in numerical computing and also get introduced to Panda, Scipy Matplotlib and Numpy along with the basics of machine learning. The python machine learning training in Vancouver is imparted online by certified world class instructors. The participants accomplish the following at the end of the course:

 

  • Application of predictive algorithms to data
  • Use of Python packages for data analysis applications
  • Advanced data structures and algorithms available in Scipy, Numpy and Pandas
  • Understanding of Python concerning Hadoop, PIG and Hive
  • Using analytics libraries with Hadoop Map Reduce, PIG and HIVE
  • Develop analytical apps with Python advanced concepts

Mode of delivery:

Certified trainers deliver the course and any; the query is satisfactorily explained.

 

  • Machine Learning with Python Online Classes in Vancouver is for 40 hours conducted on weekdays and weekends.
  • The online class has a proper mix of demos, workshops, practice sessions and live projects which help the participants to understand the basics of machine learning.
  • Exclusive one to one and corporate or team training are also available.
  • The institute gives lifetime online access to study material, from the time the participants register for the course.
  • The fee for the online classroom for is CAD 2199

 

Certification:

The academy offers Python Machine Learning Certification in Vancouver on successful completion of the course.

 

 

 

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