Machine Learning
Machine Learning with SciKit-Learn in Python
Machine Learning with SciKit-Learn in Python
Description
The scientific study of algorithms and statistical models used by computer systems to carry out a certain task successfully without utilising explicit instructions, relying instead on patterns and inference is known as machine learning.
In order to generate predictions or choices without being explicitly taught to do so, machine learning algorithms create a mathematical model from sample data, also referred to as "training data".
Scikit-learn, Numpy, and Pandas will all be used in our course. From a pedagogical viewpoint, these names may be unfamiliar to many people, but we will study in depth about them.
Python is a prerequisite for this machine learning course because it forms its foundation.
Course Duration:- 8h 15m
Sections
General
0 activities
Introduction
2 activities
NumPy
2 activities
NumPy Array
9 activities
Indexing Arrays of Arrays
3 activities
Matlplotlib
3 activities
Pandas
8 activities
Scikit Learn
4 activities
Learning and Predicting
5 activities
Cross Validation
15 activities
Movie Review Analysis
3 activities
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