Machine Learning Using Python
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Machine Learning Using Python Training in Atlanta-GA, United States

Online & Classroom | Latest & Accredited Courseware | 100+ hrs of assignments

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Modes of Delivery

Key Features

40 Hours of Instructor Led Live online training
Learn to build analytical applications using Python
Get mentored by an industry expert
Complete your own project by course completion
Log into the sessions from anywhere



Zeolearn brings you a comprehensive, hands on introduction on Python fundamentals 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 clarity, syntax 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. Participants will learn extensively about Matplotlib, Scipy and Numpy, Pandas, and the IPython toolkit through a well-paced and informative workshop that places extensive emphasis on hands on training. 

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 to data analysis applications


Programmers with Python background will find this course beneficial.


  • 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

About Machine Learning Using Python Atlanta-GA

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About Atlanta-GA

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