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Projects In Machine Learning Beginner To Professional
TORRENT SUMMARY
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Projects in Machine Learning : Beginner To Professional
A complete guide to master machine learning concepts and create real world ML solutions
What you'll learn
• Learn core concepts of Machine Learning
• Learn about differnt types of machine learning algorithms
• Build real world projects using Supervised and Unsupervised learning algorithms
• Learn to implement neural networks
Requirements
• Basic knolwedge of Python is required to compile and run the examples
• Basic knolwedge of mathematics is assumed
Description
Update: This course has been updated to include 9 projects that will give you a real-world experience with different concepts of Machine Learning. Keep an eye out for more projects that will be added to this course in the future!
If you’ve ever wanted Jetsons to be real, well we aren’t that far off from a future like that. If you’ve ever chatted with automated robots, then you’ve definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading it’s reach and making our devices smarter.
Artificial intelligence is the future of computers, where your devices will be able to decide what is right for you. Machine learning is the core for having a futuristic reality where robot maids and robodogs exist. Machine learning includes the algorithms that allow the computers to think and respond, as well as manipulate the data depending on the scenario that’s placed before them.
So, if you’ve ever wanted to play a role in the future of technology development, then here’s your chance to get started with Machine Learning. Because machine learning is complex and tough, we’ve designed a course to help break it down into more simple concepts that are easier to understand.
This course covers the basic concepts of machine learning that are crucial to get started on the journey of becoming a developer for machine learning. This course covers all the different algorithms that are required to simulate the right environment for your computer.
The course will start at the very beginning and delve right into machine learning, before breaking down the most important concepts principles. However, the course does require you to have a mathematical background as machine learning relies heavily on mathematical concepts. It also requires you to have some experience with Python principles which will be required when we put the algorithms to test in actual real-world Python projects.
The course covers a number of different machine learning algorithms such as supervised learning, unsupervised learning, reinforced learning and even neural networks. From there you will learn how to incorporate these algorithms into actual projects so you can see how they work in action! But, that’s not all. In addition to quizzes that you’ll find at the end of each section, the course also includes a 6 brand new projects that can help you experience the power of Machine Learning using real-world examples!
9 Projects That Are Included in This Course:
• Project 1 -Board Game Review Prediction – In this project, you’ll see how to perform a linear regression analysis by predicting the average reviews on a board game in this project.
• Project 2 – Credit Card Fraud Detection – In this project, you’ll learn to focus on anomaly detection by using probability densities to detect credit card fraud.
• Project 3 – Stock Market Clustering – Learn how to use the K-means clustering algorithm to find related companies by finding correlations among stock market movements over a given time span.
• Project 4 – Getting Started with Natural Language Processing In Python – This project will focus on Natural Language Processing (NLP) methodology, such as tokenizing words and sentences, part of speech identification and tagging, and phrase chunking.
• Project 5– Obtaining Near State-of-the-Art Performance on Object Recognition Tasks Using Deep Learning – In this project, will use the CIFAR-10 object recognition dataset as a benchmark to implement a recently published deep neural network.
• Project 6 – Image Super Resolution with the SRCNN – Learn how to implement and use a Tensorflow version of the Super Resolution Convolutional Neural Network (SRCNN) for improving image quality.
• Project 7 – Natural Language Processing: Text Classification – In this project, you’ll learn an advanced approach to Natural LanguageProcessing by solving a text classification task using multiple classification algorithms.
• Project 8 – K-Means Clustering For Image Analysis – In this project, you’ll learn how to use K-Means clustering in an unsupervisedlearning method to analyze and classify 28 x 28 pixel images from the MNIST dataset.
• Project 9 – Data Compression & Visualization Using Principle Component Analysis – This project will show you how to compressour Iris dataset into a 2D feature set and how to visualize it through a normal x-y plot using k-means clustering.
All of this and so much more is included in this course. So, what are you waiting for?
Get started in machine learning with this epic course that makes machine learning simpler and easy to understand! Enroll now to step into the future of programming.
Who this course is for:
• Students who will like to understand and use Machine learning in real world projects will find this course very useful
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FILE LIST
Filename
Size
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/1. Introduction.mp4
1.7 MB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/1. Introduction.srt
1.6 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/2. What is Machine Learning.mp4
29.2 MB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/2. What is Machine Learning.srt
15.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4
53.1 MB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/3. Types and Applications of ML.srt
34.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/4. AI vs ML.mp4
22.9 MB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/4. AI vs ML.srt
12.5 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4
35.8 MB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt
23.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html
65 B
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf
64.5 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html
53 B
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf
61.7 KB
Udemy - Projects in Machine Learning Beginner To Professional/1. An Introduction to Machine Learning/Must Read.txt
540 B
Udemy - Projects in Machine Learning Beginner To Professional/12. Project 7 Text Classification/2. Feature Engineering.mp4
375.4 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4
25.5 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt
18.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html
53 B
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf
75.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4
34.1 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/2. Linear Methods for Classification.srt
22 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4
27 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/3. Linear Methods for Regression.srt
14.7 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/4. Support Vector Machines.mp4
35.8 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/4. Support Vector Machines.srt
20.5 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/5. Basis Expansions.mp4
21.3 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/5. Basis Expansions.srt
14.1 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/6. Model Selection Procedures.mp4
26.9 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/6. Model Selection Procedures.srt
17.1 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4
31 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt
18.9 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip
167.2 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4
36.2 MB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt
17.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html
65 B
Udemy - Projects in Machine Learning Beginner To Professional/2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf
53 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4
31.8 MB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt
15.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/2. Association Rules.mp4
28.5 MB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/2. Association Rules.srt
18.7 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/3. Cluster Analysis.mp4
28 MB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/3. Cluster Analysis.srt
17.9 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/4. Reinforcement Learning.mp4
21 MB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/4. Reinforcement Learning.srt
22.4 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4
22 MB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt
19.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip
92.5 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/6. Quiz- Questions- Section 3.html
65 B
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf
29.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/7. Quiz- Answers - Section 3.html
53 B
Udemy - Projects in Machine Learning Beginner To Professional/3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf
41.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/1. Introduction to Neural Networks.mp4
22.7 MB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/1. Introduction to Neural Networks.srt
17.6 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/2. The Perceptron.mp4
17.1 MB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/2. The Perceptron.srt
13.4 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/3. The Backpropagation Algorithm.mp4
22.6 MB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/3. The Backpropagation Algorithm.srt
16.1 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/4. Training Procedures.mp4
24 MB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/4. Training Procedures.srt
18.7 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/5. Convolutional Neural Networks.mp4
32 MB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/5. Convolutional Neural Networks.srt
21.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/4. Neural Networks/ReadMe.txt
538 B
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/1. Introduction to Real World ML.mp4
25.6 MB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/1. Introduction to Real World ML.srt
16.4 KB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/2. Choosing an Algorithm.mp4
19.1 MB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/2. Choosing an Algorithm.srt
13.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4
19.8 MB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt
14.5 KB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/4. Common Software for ML.mp4
31.3 MB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/4. Common Software for ML.srt
15.1 KB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/5. Quiz- Questions- Section 5.html
65 B
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf
35.2 KB
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/6. Quiz- Answers - Section 5.html
53 B
Udemy - Projects in Machine Learning Beginner To Professional/5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf
47.2 KB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/1. Setting up OpenAI Gym.mp4
30.1 MB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/1. Setting up OpenAI Gym.srt
17.2 KB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/1.1 Final Project.zip.zip
47 KB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/2. Building and Training the Network Part 1.mp4
36 MB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/2. Building and Training the Network Part 1.srt
20.3 KB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/3. Building and Training the Network Part 2.mp4
63.3 MB
Udemy - Projects in Machine Learning Beginner To Professional/6. Warmup Project/3. Building and Training the Network Part 2.srt
26.9 KB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/1. Intro.mp4
7.6 MB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/1. Intro.srt
2 KB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip
128.6 KB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4
17.7 MB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt
12.7 KB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4
35.5 MB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt
20.4 KB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4
35.8 MB
Udemy - Projects in Machine Learning Beginner To Professional/7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt
16.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/8. Project 2 Credit Card Fraud Detection/1. Intro.mp4
7.6 MB
Udemy - Projects in Machine Learning Beginner To Professional/8. Project 2 Credit Card Fraud Detection/1. Intro.srt
2.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip
237.8 KB
Udemy - Projects in Machine Learning Beginner To Professional/ReadMe.txt
