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๐ฅMachine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline๐Feel free to comment your doubts in the comment section below, and we will be happy to answer๐
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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Random Forest in Machine Learning | Machine Learning Training | Edureka | Machine Learning Rewind- 5
๐ฅMachine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.
00:00 Introduction
01:16 What is Classification
02:34 What is Random Forest?
03:11 Why Random Forest?
07:36 Ensemble Learning
10:22 Random Forest Analogy
15:00 How good is your model?
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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course :
Edurekaโs Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Here's the roadmap that I would follow to learn artificial intelligence (AI).
๐ Get the FREE roadmap here โก๏ธ https://bit.ly/data-alchemy
โฑ๏ธ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?
๐ ๏ธ Explore ProjectPro
https://bit.ly/3q837w8
๐๐ป About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.
๐ My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer
โ๏ธ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N
๐ How I'm using data to track my health
https://join.whoop.com/datalumina
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https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/
๐ฅ Datalumina's Newsletter
https://www.datalumina.com/newsletter
#ai #roadmap #datalumina
๐ Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.
With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.
The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.
Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.
For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.
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This ๐๐ก๐๐ญ๐๐๐ ๐๐ฎ๐ญ๐จ๐ซ๐ข๐๐ฅ is intended as a Crash Course on ๐๐ก๐๐ญ๐๐๐ for Beginners. ๐๐ก๐๐ญ๐๐๐ has been growing in popularity exponentially. But, ๐๐ก๐๐ญ๐๐๐ is still not known to many people. In this video, I aim to show you the different ways in which you can use ๐๐ก๐๐ญ๐๐๐ for yourself.
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