Udemy – Machine Learning: Beginner to Expert using Python (2024) 2024-10

Description

Machine Learning course: Beginner to Expert using Python (2024). This course is designed to take students from beginner to expert level in the field of machine learning using Python. This course begins with essential topics such as basic statistics and regression techniques, including linear and logistic regression. Students learn about model validation to ensure that their models are accurate and reliable. As the course progresses, more advanced concepts such as decision trees, artificial neural networks (ANN), random forests, and reinforcement learning methods are explored, which are used to improve model performance. By the end of the course, students will have a strong foundation in machine learning and the confidence to build their own models. They will be prepared to solve a wide range of machine learning problems and apply these skills across industries. This course is suitable for anyone who wants to learn machine learning from scratch with hands-on hands-on learning using Python.

What you will learn in this course:

• Python programming, data manipulation and cleaning, basic statistics, classic machine learning algorithms, model selection and validation, advanced machine learning
• Write your own Python scripts and work in the Python environment
• Import, manipulate, clean, sanitize and export datasets
• Understanding basic statistics and its implementation using Python
• Understand the data science lifecycle as you understand the steps involved in building, validating, improving, and implementing machine learning models.
• Perform powerful analysis on data, find insights and present them visually.
• Learning classical algorithms such as linear regression, logistic regression, decision trees and advanced machine learning algorithms such as RF and GBM
• Knowing how each machine learning algorithm works and which one to choose based on the type of problem.
• Building more than one powerful machine learning model and the ability to choose the best model and improve it further.

This course is suitable for people who:

• They are interested in data science and machine learning.
• Students who want to advance in the field of data science.
• Analysts who want to improve their machine learning skills.
• People who want to add value to their work and business using machine learning.
• People who have a basic understanding of classic machine learning algorithms like linear regression or logistic regression, but want to learn more about it.
• People interested in understanding the application of machine learning algorithms to real business problems.
• People who are interested in understanding how a machine learning algorithm works and the mathematics behind it.

Specifications of the Machine Learning course: Beginner to Expert using Python (2024)

• Publisher:  Udemy
• Instructor:  Venkata Reddy AI Classes
• Training level: beginner to advanced
• Training duration: 17 hours and 17 minutes
• Number of courses: 23

Course headings

Prerequisites of the Machine Learning course: Beginner to Expert using Python (2024)

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 1 GB

Download part 6 – 1 GB

Download part 7 – 469 MB

File(s) password: www.downloadly.ir

File size

6.4 GB