About Machine Learning Using Python
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In this application we implement...
Machine learning is an application of artificial intelligence (AI)
that provides systems the ability to automatically learn and improve from experience
without being explicitly programmed. In this application we implement Machine Learning using python programming language.
From this application you will learn how Machine Learning, Artificial Intelligence(AI) and Deep Learning actually works in 2020
In this application we provide the basic knowledge of Python Programming Language. Python is an interpreted, object-oriented,
high-level programming language with dynamic semantics. Python's simple, easy to learn syntax emphasizes readability and therefore
reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
Machine Learning Using Python Tutorials 2020 has four section-
i) Basic Python
ii) Machine Learning and Artificial Intelligence
iii) Implementation of Machine Learning Using Python Programming Language
iv) Machine Learning Using Python Cookbook
i) BASIC PYTHON
In this Basic Python Module you will learn -
1) Some Introduction of Python Programming Language.
2) Why we using Python Programming Language.
3) Basics Of Loops in Python. (For,While loops etc.)
4) Object Oriented Programming Using Python
5) Basics Of Function Using Python.
6) File Handling Using Python.
ii) MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
In this Module you will learn -
1) Introduction Of Artificial Intelligence.
2) Application Of Artificial Intelligence.
3) Introduction of Machine Learning.
4) Supervised and Unsupervised Learning in Machine Learning.
5) Introduction Of Scikit Learn Module in Machine Learning.
6) Introduction of Numpy in Machine Learning.
7) Introduction of Pandas in Machine Learning.
8) Introduction of Matplotlib in Machine Learning.
9) Basic Concept of Regression Analysis.
10) Basic Concept of Clustering.
11) Introduction Of K means Clustering.
12) S.V.M Classification.
iii) IMPLEMENTATION OF MACHINE LEARNING USING PYTHON PROGRAMMING LANGUAGE
In this Module you will learn -
1) Simple Linear Regression Coding using Python.
2) Multiple Linear Regression Coding using Python.
3) S.V.M Classification Coding using Python.
4) K means Clustering Coding Using Python.
5) Decision Tree Classification Coding Using Python.
iv) MACHINE LEARNING USING PYTHON COOKBOOK
In this Module you will learn -
1) Table of contents
2) Vector,Matrices and Arrays using Machine learning
3) Data Wrangling using Machine learning
4) Handling Numerical Data using Machine learning
5) Handling Categorical Data using Machine learning
6) Handling Text using Machine learning
7) Handling Dates and times using Machine learning
8) Handling images using Machine learning
9) Dimensionality Reduction Using Feature Extraction using Machine learning
10) Dimensionality Reduction Using Feature Selection using Machine learning
11) Model Evaluation using Machine learning
12) Model Selection using Machine learning
13) linear-Regression using Machine learning
14) Trees and Forests using Machine learning
15) K-Nearest Neighbors using Machine learning
16) Logistic Regression using Machine learning
17) Support Vector Machine using Machine learning
18) Naive Bayes using Machine learning
19) Clustering using Machine learning
20) Neural Networks using Machine learning
21) saving and loading trained Models using Machine learning
