Our Python for Machine Learning Training program focuses on mastering the application of Python in implementing machine learning algorithms. It encompasses essential topics including data manipulation, data analysis, visualization, and a comprehensive grasp of diverse machine learning algorithms - their mechanics and implementation using Python. This training holds significant value across industries, as Python's versatility and user-friendliness make it the perfect fit for constructing scalable machine learning models
There are no specific prerequisites for Python Training A basic understanding of Computer Programming terminologies is beneficial if you’re a beginner.
Introduction to Python and Basics
  • History
  • Features
  • Definition & Applications
  • Features, Versions & Working
  • Anaconda & Different IDEs for Python
  • Introduction to IDE's - Jupiter Notebook, Spyder & Google Colab
Data Types and Control Flows
  • Literals, reserved words and input functions
  • Data Types: int, float, bool, str
  • Decision Control Flows: If / Nested If / If-else / If-elif-else
  • Control Flow Loops: While loop, For loop, While-else, For-else
  • Operators: Arithmetic, Relational or Comparison, Logica
Lists, Tuples, Sets, and Dictionaries
  • Operators (Bitwise, Assignment, Ternary)
  • List: Traversing Elements, Operations, Methods, Membership Operator, Comprehension, Ways of Accessing values.
  • Tuples: Creating Tuples, Ways of Accessing Values, Tuple Vs Immutability, Tuple Comprehension
  • Sets: Ways of Accessing Values, Manipulating and Accessing Sets, Set Operations, Creating Sets
  • Dictionary: Why Dictionary, creating a Dictionary, Accessing Values, Updating Dictionaries, Functions of Dictionary
File Handling and Strings
  • File Handling: Types of Files, Opening and Closing Files, Writing, Appending, and Reading Files
  • Strings: String Literals, Single, Double & Triple Quotes, Raw Strings and Operations on strings
  • Dictionary: Accessing Values, Updating Dictionaries, Functions of Dictionary
Iterators & Generators
  • Iterator vs Iterable, Containers, Generators in Python.
Regular Expressions
  • Match function
  • Search function
  • Matching VS Searching
  • Modifiers
  • Patterns
  • Uses of Regular Expressions - Text Analytics, import re, Character Classes, Backslash, Alteration, Quantifiers
OOPs concept
  • Class and object
  • Attributes
  • Inheritance
  • Overloading
  • Overriding
  • Data hiding
Introduction to NumPy, Pandas & Matplotlib
  • Introduction to NumPy, Install NumPy
  • Array Creation, Array Reshaping, Indexing, Operations
  • Introduction to Pandas, Slicing Data, Slicing Data Frame
Introduction to Data Preprocessing
  • Filtering DataFrame, Transforming DataFrame, Advanced Indexing
Exploratory Data Analysis (EDA)
  • Data Cleaning Techniques, Handling Missing Data, Handling Categorical Data
  • Introduction to EDA, 2D Scatter-plot, 3D Scatter-plot, Pair plots
  • Univariate, Bivariate, and Multivariate Analysis, Box-plot
  • Variance and Standard Deviation, Median, IQR (Interquartile Range)
Advanced Pandas and Data Visualization
  • Advanced Pandas, Advanced Indexing, Data Preparation
  • Handling Missing Data, handling Categorical Data, Data Cleaning
Data Visualization
  • Introduction to Data Visualization, Plotting with Matplotlib
  • Scatter Plots, Line Plots, Bar Plots, Pie Charts, Heatmaps
  • Personalized Learning Plan
  • Flexible Scheduling
  • Expert Instructor
  • Hands-on project-based Training
  • Support After Training
  • Interview Preparations
Virtual Intructor Led Training
One to one private batch Public batch
Fees : ₹80,000 + 18% GST Fees : ₹15,000 + 18% GST
2hrs : Mon - Fri 2hrs : Mon - Fri
4hrs : Sat - Sun 4hrs : Sat - Sun


1Is Python Programmer a good career option?
Python is in the top 3 spots as the most in-demand programming language in 2023.
2Which Industries use Python Programming Language?
Major industries like Aerospace, insurance, Banking, health, Finance and information technology are the most popular uses of Python programming tools. You can start your career from any of these industries after completing Python Training.
3Do you offer Corporate Training?
Yes, We do offer Corporate Training.
4How will I receive the Certificate after attending the course?
You will receive the digital certificate post training completion from our Team.
5Can I see trainer profile before training or enrollment?
Yes, You can.
6Can I request for a demo session for enrollment?
Yes, You can.
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