Machine Learning Online Training Content
You will be exposed to the complete Machine Learning Trainingcourse details in the below sections.
- Anaconda Navigator Download
- Anaconda Navigator Installation
- Create environment and download libraries
- Introduction to jupyter notebook
- Python Object & Data Structure
- Numbers
- Basic Arithmatic
- Variable assignment
- String
- String
- String indexing and slicing
- String properties
- List
- Lists
- List method
- List comprehsions
- Dictionary
- Construct Dict
- Dict Methods
- Tuples
- Sets and Booleans
- Python Statement
- Intro python state , if elif else
- introduction to python statements
- if,elif and else statement part 1
- if,elif and else statement part 2
- For loop
- Introduction to for loops
- For loop examples
- While loops , Useful Operators
- while loop
- break , cont , pass
- useful operator part 1
- useful operator part 2
- Methods and Function
- lambda expression , nested statemet
- map and filter
- lambda expression
- nested statement part 1
- nested statement part 2
- methods
- functions part 1
- functions part 2
- list compressions
- OOPs
- OOPs basics
- OOPs inheritance
- OOPs polymorphism
- Python Libraries
- Numpy
- Creating array
- Using arrary and scalers
- Indexing arrays
- Array transposition
- Universal array functions
- Array processing
- Pandas
- Series
- Index objects
- Reindex
- Drop entry
- Selecting entries
- Data alignment
- Rank and sort
- Missing Data
- Matplotlib
- Seaborn
- Seaborn categorical plots part 1
- Seaborn categorical plots part 2
- Seaborn categorical plots part 3
- Seaborn distribution plot part 1
- Seaborn distribution plot part 2
- Seaborn regression plot
- Seaborn style and color
