Live Online Style Video +Live Instructor + Official Course-Book + Hands-on Labs

Python for Machine Learning

Includes:

  1. Power Packed 20 Hours (Edited from 40 hours of Live Training)
  2. 6 months access to videos.
  3. Access via Laptop, Tab, Mobile, and Smart TV.
  4. Certificate of Completion.
  5. Official Course-Book
  6. Hands-on labs
  7. 170+ Tests Questions (Qubits)
You can also purchase an annual plan for USD 999. For one year, all Flexi Videos will be free for you. Buy Annual Plan

You will get access to Flexi Video within 30 minutes.

Flexi Video

USD 199

Official Course-Book Instructor Hand-outs

USD 0

Hands-On-Labs

USD 59

Total

USD 199

100% Refund for Flexi Video (Course-Book is non-refundable) if user is not satisfied with the Video and seeks refund within 7 days of purchase.

Download Course Contents
Module 1: Introduction to Python and Basics
  • Definition & Applications
  • Features, Versions & Working
  • Anaconda & Different IDEs for Python
  • Introduction to IDE's - Jupiter Notebook, Spyder & Google Colab
  • 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, Logical
  • Bitwise Operators, Assignment Operators, Ternary Operator
  • List: Ways of Accessing Values, Traversing Elements, List Operations, List Methods, Membership Operator, List Comprehension
  • Tuples: Creating Tuples, Ways of Accessing Values, Tuple Vs Immutability, Tuple Comprehension
  • Sets: Creating Sets, Ways of Accessing Values, Manipulating and Accessing Sets, Set Operations
  • Dictionary: Why Dictionary, creating a Dictionary, Accessing Values, Updating Dictionaries, Functions of Dictionary
  • File Handling: Types of Files, Opening and Closing Files, Writing, Appending, and Reading Files
  • Strings: String Literals, Single ('') & Double Quotes (""), Triple Quotes ('''), Raw Strings ("r'…' ") and Operations on strings
  • Dictionary: Accessing Values, Updating Dictionaries, Functions of Dictionary
  • Iterator vs Iterable, Containers, Generators in Python
  • Uses of Regular Expressions - Text Analytics, import re, Character Classes, Backslash, Alteration, Quantifiers
  • Class, Classes and Object, Creating Object, Accessing Objects, Need and Use of Self, Class Method, __init__() constructor
  • Introduction to NumPy, Install NumPy
  • Array Creation, Array Reshaping, Indexing, Operations
  • Introduction to Pandas, Slicing Data, Slicing DataFrame
  • Filtering DataFrame, Transforming DataFrame, Advanced Indexing
  • 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, Advanced Indexing, Data Preparation
  • Handling Missing Data, handling Categorical Data, Data Cleaning
  • Introduction to Data Visualization, Plotting with Matplotlib
  • Scatter Plots, Line Plots, Bar Plots, Pie Charts, Heatmaps
  • Problem Statement, Data Collection, Data pre-processing (Exploratory Data Analysis), Feature Engineering (optional), Data visualizations (Pandas, NumPy & Matplotlib), Project Final Outcome & findings
Madhushruti Sharma

Certifications

Skills

 
Microsoft:55264-A: Introduction to Programming Using PythonMicrosoft:55284A: Introduction to Python
Microsoft:55285A: Advanced PythonKoenig Original:A Day In Python
Open Source:advanced Python for Machine LearningOpen Source:Advanced Python Programming
Open Source:API Design with PythonPython Institute:Certified Associate in Python Programming (PCAP)
Python Institute:Certified Entry-Level Python Programmer (PCEP)Open Source:Complete Python Developer: Zero to Mastery
Open Source:Computer Vision Course with OpenCVKoenig Original:Data Analysis using Pandas
Koenig Original:Data Analytics and Statistical Modeling for Business InsightsOpen Source:Data Science with Python
Open Source:Data Structures and Algorithms in PythonCisco:Developing Solutions Using Cisco IoT and Edge Platforms (DEVIOT)
Open Source:DjangoOpen Source:Django (High Level Python Web Framework)
Open Source:Introduction to Data ScienceDatabricks:Introduction to Python for Data Science & Data Engineering

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FAQ's

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We use the best standards in Internet security. Any data retained is not shared with third parties.
You will be provided access to LET ( Learning Enhancement Tool), where you will get the links to access all your purchases.
Flexi video for the new version will be provided free of cost.
6 months from the date of delivery.
Yes, contact us for corporate packages.
Yes, Course-Book and Lab are not included in the annual plan. All Flexi videos are included.
It is only for one user.
Videos can only be streamed and not downloaded.
We do not track the pass rate of Flexi students. However, we trust it will be lower than for Live Online.
Presently, Flexi is only available in English.
It’s a unique subscription plan where customers can avail unlimited Flexi courses within a year.
The subscription plan is valid for 1 year from the date of purchase.
No, this is limited to one user and its non-transferable.

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