Description
Comprehensive Machine Learning and Data Science with Python | AZ is a zero to one hundred machine learning and data science course in the Python programming language, published by Udemy Academy. Python is a high-level general-purpose language used in various fields such as artificial intelligence, machine learning, data analysis, etc. Many libraries such as Scikit, NumPy, Pandas, Matplotlib, and Seaborn have been developed based on the Python programming language, each of which is used in various fields such as data analysis and illustration. Machine learning is an emerging and revolutionary technology of which we have seen simple and practical examples in the capabilities of automatic correction, predictive text and speech recognition. This technology is developing day by day and has opened up to various industries and platforms such as computer games, digital marketing, programming, etc.
Smart virtual assistants like Alexa and Siri use machine learning algorithms and mathematical models in Amazon and Apple products. It is predicted that by 2026, there will be approximately 11.5 million vacancies in the field of data science and machine learning, which promises a bright future for these modern technologies. Machine learning systems are a collection of intelligent and decision-making systems that practice a specific mathematical model based on real data and can then make new decisions and make effective predictions. For example, to build a facial recognition system, at first we enter a large number of images and faces into the model and enter the desired information. After reviewing the information, the system quickly detects patterns between the information and can make decisions in the future and in new situations fully automatically.
What you will learn in Complete Machine Learning & Data Science with Python | A-Z
- Machine-Based Learning Systems and Their Applications and Benefits
- Machine Learning of Specialized Vocabulary and Data Science
- Measurement and evaluation criteria and models
- Statistical classification and regression analysis
- Development of machine learning systems based on Python
- Supervised teaching
- Cross validation method
- Bias-variance trade-off
- Illustration and display of data in the form of graphical models with the Matplotlib and seaborn libraries
- Machine learning with SciKit
- Linear regression theory
- Logistic regression theory
- K Nearest Neighbors Algorithm
- Decision trees
- Random forest algorithm
- Support for vector machines algorithm
- K stands for clustering algorithm
- Hierarchical clustering algorithm
- Principal component analysis
- Recommendation system
- Python programming language syntax
- Other applications of the Python programming language
Course specifications
Editor: Udemy
Instructors: Oak Academy
French language
Level: Introductory to Advanced
Number of lessons: 46
Duration: 8 hours and 43 minutes
Course topics on 2021/11
Comprehensive Machine Learning and Data Science with Python | Prerequisites from A to Z
Basic knowledge of the Python programming language
Be able to use and install software on a computer
Free software and tools used during the machine learning az course
Determination to learn machine learning and patience.
Motivation to learn the second highest number of job offers related to the language of the program among all others
Data visualization libraries in python such as seaborn, matplotlib
Curiosity for python machine learning
Desire to learn Python
Desire to work on machine learning in python
Desire to learn matplotlib
Desire to learn pandas
Desire to learn numpy
Desire to work on Seaborn
Desire to learn az machine learning, full machine learning
Pictures
Comprehensive Machine Learning and Data Science with Python | Intro video from A to Z
Installation guide
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english subtitle
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File password(s): ngaur.com
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