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Learn and Implement Machine Learning Projects using Python --> [ DevCourseWeb ]



Size :3.43 GB
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Added : 6 months ago » by FreeCourseWeb » in Other
Language : English
Last Updated :6 months ago
Info_Hash :9E4CAA4366F172B63EFA249150C220B9A60AD05D

Torrent File Contents

Learn and Implement Machine Learning Projects using Python --> [ DevCourseWeb ]
  Get Bonus Downloads Here.url
  -  182 Bytes

  ~Get Your Files Here !/1. Data at the Core/1. How Top Companies Drive Success with Data Science.mp4
  -  53.78 MB

  ~Get Your Files Here !/1. Data at the Core/2. Overview of Machine Learning.mp4
  -  61.71 MB

  ~Get Your Files Here !/1. Data at the Core/3. Whats Artificial Intelligence.mp4
  -  60.22 MB

  ~Get Your Files Here !/1. Data at the Core/4. Artificial intelligence Applications.mp4
  -  115.29 MB

  ~Get Your Files Here !/1. Data at the Core/5. Learn Data Science Without Any Background.mp4
  -  14.97 MB

  ~Get Your Files Here !/1. Data at the Core/6. Business Analysts v Data Analyst.mp4
  -  159.47 MB

  ~Get Your Files Here !/1. Data at the Core/7. Data Analytics v Data Scientist.mp4
  -  159.8 MB

  ~Get Your Files Here !/2. Python Programming Concepts/1. Python 101 - Basic Python.mp4
  -  467.51 MB

  ~Get Your Files Here !/3. Learning Database Programming/1. SQL 101 - Session 1 - Introduction to Database.mp4
  -  11.26 MB

  ~Get Your Files Here !/3. Learning Database Programming/2. SQL 101 - Session 2 - MYSQL Installation.mp4
  -  23.57 MB

  ~Get Your Files Here !/3. Learning Database Programming/3. SQL 101 - Session 3 - Launching MYSQL and Creating a database.mp4
  -  20.48 MB

  ~Get Your Files Here !/3. Learning Database Programming/4. SQL 101 - Session 4 - Designing a RDBMS database.mp4
  -  128.92 MB

  ~Get Your Files Here !/3. Learning Database Programming/5. Lecture 12 Running SQL Queries.mp4
  -  320.47 MB

  ~Get Your Files Here !/4. Statistics for Machine Learning/1. Understanding data.mp4
  -  71.85 MB

  ~Get Your Files Here !/4. Statistics for Machine Learning/2. Measure of Central Tendency.mp4
  -  101.29 MB

  ~Get Your Files Here !/4. Statistics for Machine Learning/3. Measure of Variability and use of metric.mp4
  -  104.41 MB

  ~Get Your Files Here !/5. Understanding Data Visualization/1. Introduction to Data Visualization.mp4
  -  39.99 MB

  ~Get Your Files Here !/5. Understanding Data Visualization/2. Important Visualization plots and graphs.mp4
  -  93.76 MB

  ~Get Your Files Here !/6. Foundation of Machine Learning/1. Basic Concepts.mp4
  -  97.53 MB

  ~Get Your Files Here !/6. Foundation of Machine Learning/2. Machine Learning Models.mp4
  -  120.66 MB

  ~Get Your Files Here !/6. Foundation of Machine Learning/3. Understanding the Machine Learning process.mp4
  -  25.82 MB

  ~Get Your Files Here !/6. Foundation of Machine Learning/4. Preprocessing of Dataset.mp4
  -  162.32 MB

  ~Get Your Files Here !/7. Regression Algorithm/1. Regression Introduction.mp4
  -  104.47 MB

  ~Get Your Files Here !/7. Regression Algorithm/2. Python example of Simple Linear Regression.mp4
  -  105.15 MB

  ~Get Your Files Here !/7. Regression Algorithm/3. Understanding Regression model evaluation.mp4
  -  77 MB

  ~Get Your Files Here !/8. Data Visualization/1. Data Visualization using Power BI.mp4
  -  396.02 MB

  ~Get Your Files Here !/8. Data Visualization/1.1 6 WalmartData.xlsx
  -  16.26 KB

  ~Get Your Files Here !/9. Additional Content/1. Learn about Federated Machine Learning.mp4
  -  200.23 MB

  ~Get Your Files Here !/9. Additional Content/2. Federated Machine Learning in IoT.mp4
  -  212.52 MB

  ~Get Your Files Here !/Bonus Resources.txt
  -  386 Bytes



Torrent Description

[ DevCourseWeb.com ] Learn and Implement Machine Learning Projects using Python

If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com

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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.

If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com

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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

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