Python Master Class A-Z

  • Instructor: Atif Mazhar
  • Students: 350
  • Duration: 8 weeks
Categories: ,

 

Python is the most powerful programming language for data analytics, machine learning and artificial intelligence.

Modules:

  • Python for data analysis, analytics & visualization
  • Python for machine learning

 

What is Python?

Python is powerful… and fast;
plays well with others; 
runs everywhere;
is friendly & easy to learn; 
is Open

 

What “Python Master Class A-Z” will do for you
    • You will be able to successfully complete this course without any prior programming experience
    • You will be able to use Python for performing different statistical data analysis and visualization tasks both prior to and after formal modelling
    • Introduction to some of the most important machine learning concepts in a practical manner that you will be able to apply these concepts for practical data analysis and interception
    • You will get a strong background in some of the most important statistical modelling, machine learning, deep learning concepts along with basic exploratory data analysis (grouping, visualization etc.) skills using some of the most common Python packages
    • You will be equipped to work with real life data i.e. reading data from different sources, cleaning of data and get acquainted with the modalities of working with actual data

 

Prerequisite

  • Min high school math & calculus

 

Laptop Specification

  • 12 GB Ram
  • Min i5 processor
  • OS: Windows 10
  • Hard disk space of 500 GB HDD/SDD
  • 2 GB Graphic Card (Optional)

Note: Python environment setup for data analysis and machine learning will be done in the classroom

 
Python Master Class A-Z
Python is the most powerful programming language for data analytics, machine learning and
artificial intelligence.
Modules:
– Python for data analysis, analytics & visualization
– Python for machine learning
Course Outline
Python Basics:
– Introduction to different data types
– Data sourcing/access/mapping
– Data manipulation/munging
– Data analytics
– Data visualization
Python Advance:
– Advanced data manipulation/munging
– Advanced data visualization
– Advanced data analytics
Machine Learning Basics:
– Supervised machine learning:
i- Regression
ii- Classification
– Unsupervised machine learning:
i- Clustering
Machine Learning Data Science Pipeline
– Data preprocessing
– Data splitting
– Feature engineering
– Data visualization
– Machine learning algworithm selection
– Metrics evaluation
Machine Learning Deep Dive
– Real world use cases
– Regression
– Multiple regression
– classification
– Multiple classification
– Multi-label classification
Metrics Evaluation:
– Accuracy
– F1-score
– Precision
– Sensitivity
– Confusion matrix
Real World Projects:
– Default python dataset (titanic dataset, iris dataset, Indian diabetes dataset)
– Project from Kaggle dataset
– Project from UCI machine learning dataset
– Real world application
Artificial Intelligence:
– Sneak peak into deep learning
– Use Case of any machine learning problem comparison to deep learning results
 

Classroom Training

Onsite Training

Online Training

Classroom - Fee
$
Enroll Now
Atif Mazhar
ITIL, VCP, MCT, MDT, MCP, MCSE, MCSA, BCCA, BCCP, MCITP
Atif Mazhar has been in the IT industry for the last 20+ years with experience in teaching and consulting. He has worked for various MNC companies and specializes in many Microsoft Technologies. Industry Certifications: ITIL, VCP, MCT, MDT, MCP, MCSE, MCSA, BCCA, BCCP, MCITP, Quest Certified Professional QMM AD/ QMM Exchange SME Technologies: Azure, Office 365, SCOM, SCCM, Clustering, NLB, Active Directory, One Drive for Business, Skype for Business/Lync Server, Microsoft SQL 2008/2012/2014/2016, Microsoft Exchange 2003/2007/2010/2013/2016, Microsoft Windows Server 2003/2008/2012/2016, Windows 10.
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