- Course Introduction in Animation
- Why to Join this Course?
- Collection of Data and Tools to Collect Data
- Meet Trainer for this Course
- Case Study on "How Customer Feedback can use for Increasing Sale in Mega Mart?"
- Case Study on "Why Mega Mart give on Discounts in Specific Month?"
- Importance of Data Analysis
- What is Machine Learning and it's types
Beginner
Online
₹ 449 1,499
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
Fees information
certificate availability
certificate providing authority
The syllabus
Introduction
Python Basics with Crash Course with Numpy Library
- Introduction of Python and Python Libraries for Data Analytics
- Environment Set up
- Data Type, Variable and Keywords
- how to take input
- How to produce output _ Print Statement in Python
- List, Tuple, Set, Dictionary
- List Operations in details
- Tuple Operations in details
- Set Operations in details
- Dictionary Operations in details
- String Operation in Python
- Types of Operators
- Data Type Conversion
- Math library
- Generation of Random Number and Range Functions
- Importance of Indentation
- Sequential, Selection, Repetition
- User Define Functions and inbuilt Function
- Python Crash Course
Different way to read Data using Python
- Create, Edit, Write, Read Text File
- Python CSV file Operations
Pandas Library for Data Analysis
- Pandas Tutorial 1
- Pandas Tutorial 2
- Pandas Tutorial 3
- Pandas Tutorial 4
Data Visualization
- How to choose the RIGHT Charts & Graph for your Data
- Matplotlib Library Tutorial 1
- Matplotlib Library Tutorial 2
- Matplotlib Library Tutorial 3
- Matplotlib Library Tutorial 4
- Matplotlib Library Official Site Visit
- Seaborn Library Tutorial 1
- Seaborn Library Tutorial 2
- Seaborn Library Official Site Visit
- Plotly Library Tutorial
Machine Learning Foundation
- Supervise Learning
- Unsupervised Learning
- Training, Testing and Model Evaluation in Machine Learning
- Confusion Matrix
Data Analysis with Machine Learning Algorithms
- Data Analysis with Linear Regression
- Data Analysis with Logistic Regression
- Data Analysis with Support Vector Machine
- Data Analysis with K Mean
- Data Analysis with KNN
- Case Study with Scikit Learn Library
- Case Study with Scikit Learn Library
Additional and New Learning
- How to Learn Mathematics for Machine Learning?
- Dimension Reduction is Curse in Machin Learning
- Reasons to Learn Probability for Machine Learning
- Main Challenges of Machine Learning
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