Machine Learning For Beginners

1. Machine Learning
LECTURE 2

2. Previous Lecture???
 What is Machine Learning?
 Types of Machine Learning?
 Sub types…

3. Today Lecture Outline??
 Tools For Machine Learning.
 Libraries in Python

4. Tools For Machine Learning???
 Anaconda Navigator
 PyCharm

5. Working Tool???
 We will work on anaconda Navigator due to below reasons,
 Step by step execution and you can easily output of every line.
 Easy for Installation
 Easy for Installing Libraries and too many features..

6. Libraries For Machine Learning.
 There are many libraries of Python that can be use for machine learning operations but in
this lecture we only see about two libraries.
 Numpy
 Pandas.

7. Numpy Library??
 Numpy libraries is derived from two words “Num” and “Py” which means
numerical python.
 Numpy is used for performing mathematical operations in machine learning. i.e. Arrays
working, Determinant, Addition, subtraction, multiplication and diagonals working on
matrices.
 We also implement some operation of numpy in this lecture.

8. Pandas Library??
 Pandas library is used for reading datasets of machine learning. i.e. csv files, txt
files , excel files and sql files.

9. Thanks For Watching
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