| 1. Basic Concepts.mp4 | 97.5 MB | ||
| 1. Data Visualization using Power BI.mp4 | 396 MB | ||
| 1. How Top Companies Drive Success with Data Science.mp4 | 53.8 MB | ||
| 1. Introduction to Data Visualization.mp4 | 40 MB | ||
| 1. Learn about Federated Machine Learning.mp4 | 200.2 MB | ||
| 1. Python 101 - Basic Python.mp4 | 467.5 MB | ||
| 1. Regression Introduction.mp4 | 104.5 MB | ||
| 1. SQL 101 - Session 1 - Introduction to Database.mp4 | 11.3 MB | ||
| 1. Understanding data.mp4 | 71.8 MB | ||
| 1.1 6 WalmartData.xlsx | 16.3 KB | ||
| 2. Federated Machine Learning in IoT.mp4 | 212.5 MB | ||
| 2. Important Visualization plots and graphs.mp4 | 93.8 MB | ||
| 2. Machine Learning Models.mp4 | 120.7 MB | ||
| 2. Measure of Central Tendency.mp4 | 101.3 MB | ||
| 2. Overview of Machine Learning.mp4 | 61.7 MB | ||
| 2. Python example of Simple Linear Regression.mp4 | 105.1 MB | ||
| 2. SQL 101 - Session 2 - MYSQL Installation.mp4 | 23.6 MB | ||
| 3. Measure of Variability and use of metric.mp4 | 104.4 MB | ||
| 3. SQL 101 - Session 3 - Launching MYSQL and Creating a database.mp4 | 20.5 MB | ||
| 3. Understanding Regression model evaluation.mp4 | 77 MB | ||
| 3. Understanding the Machine Learning process.mp4 | 25.8 MB | ||
| 3. Whats Artificial Intelligence.mp4 | 60.2 MB | ||
| 4. Artificial intelligence Applications.mp4 | 115.3 MB | ||
| 4. Preprocessing of Dataset.mp4 | 162.3 MB | ||
| 4. SQL 101 - Session 4 - Designing a RDBMS database.mp4 | 128.9 MB | ||
| 5. Learn Data Science Without Any Background.mp4 | 15 MB | ||
| 5. Lecture 12 Running SQL Queries.mp4 | 320.5 MB | ||
| 6. Business Analysts v Data Analyst.mp4 | 159.5 MB | ||
| 7. Data Analytics v Data Scientist.mp4 | 159.8 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 31 total files | |||
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.
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| 1.8 GB | freecoursewb | 4 days | 72 | 11 | |
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| 2.3 GB | freecoursewb | 1 week | 68 | 9 | |
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