Udemy - Learn and Implement Machine Learning Projects using Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.4 GB
  • Uploaded Byfreecoursewb
  • Downloads107
  • Last checkedApr. 13th '24
  • Date uploadedApr. 12th '24
  • Seeders 27
  • Leechers28
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Learn and Implement Machine Learning Projects using Python

https://DevCourseWeb.com

Published 3/2024
Created by Swapnil Saurav
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 28 Lectures ( 7h 39m ) | Size: 3.42 GB

From Basics to Project Deployment: A Practical Python Approach to Machine Learning

What you'll learn:
Foundational ML Concepts: Understand the core principles behind machine learning, including the different types of ML algorithms.
Python for ML: Master the use of Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn for ML development.
Developing ML Projects: Learn the step-by-step process of creating a machine learning project, from data collection and preprocessing to model training and eval
Real-World Applications: Apply your skills to real-world projects across various domains, such as finance, healthcare, and more.
Model Deployment: Discover how to deploy your machine learning models to production environments.

Requirements:
Familiarity with fundamental programming concepts
A desire to learn and explore the field of machine learning.

Files:

[ DevCourseWeb.com ] Udemy - Learn and Implement Machine Learning Projects using Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Data at the Core
    • 1. How Top Companies Drive Success with Data Science.mp4 (53.8 MB)
    • 2. Overview of Machine Learning.mp4 (61.7 MB)
    • 3. Whats Artificial Intelligence.mp4 (60.2 MB)
    • 4. Artificial intelligence Applications.mp4 (115.3 MB)
    • 5. Learn Data Science Without Any Background.mp4 (15.0 MB)
    • 6. Business Analysts v Data Analyst.mp4 (159.5 MB)
    • 7. Data Analytics v Data Scientist.mp4 (159.8 MB)
    2. Python Programming Concepts
    • 1. Python 101 - Basic Python.mp4 (467.5 MB)
    3. Learning Database Programming
    • 1. SQL 101 - Session 1 - Introduction to Database.mp4 (11.3 MB)
    • 2. SQL 101 - Session 2 - MYSQL Installation.mp4 (23.6 MB)
    • 3. SQL 101 - Session 3 - Launching MYSQL and Creating a database.mp4 (20.5 MB)
    • 4. SQL 101 - Session 4 - Designing a RDBMS database.mp4 (128.9 MB)
    • 5. Lecture 12 Running SQL Queries.mp4 (320.5 MB)
    4. Statistics for Machine Learning
    • 1. Understanding data.mp4 (71.8 MB)
    • 2. Measure of Central Tendency.mp4 (101.3 MB)
    • 3. Measure of Variability and use of metric.mp4 (104.4 MB)
    5. Understanding Data Visualization
    • 1. Introduction to Data Visualization.mp4 (40.0 MB)
    • 2. Important Visualization plots and graphs.mp4 (93.8 MB)
    6. Foundation of Machine Learning
    • 1. Basic Concepts.mp4 (97.5 MB)
    • 2. Machine Learning Models.mp4 (120.7 MB)
    • 3. Understanding the Machine Learning process.mp4 (25.8 MB)
    • 4. Preprocessing of Dataset.mp4 (162.3 MB)
    7. Regression Algorithm
    • 1. Regression Introduction.mp4 (104.5 MB)
    • 2. Python example of Simple Linear Regression.mp4 (105.1 MB)
    • 3. Understanding Regression model evaluation.mp4 (77.0 MB)
    8. Data Visualization
    • 1. Data Visualization using Power BI.mp4 (396.0 MB)
    • 1.1 6 WalmartData.xlsx (16.3 KB)
    9. Additional Content
    • 1. Learn about Federated Machine Learning.mp4 (200.2 MB)
    • 2. Federated Machine Learning in IoT.mp4 (212.5 MB)
    • Bonus Resources.txt (0.4 KB)

Code:

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