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Python Machine Learning Projects

Where to Watch Python Machine Learning Projects

26
Building a Chatbot
2016-12-27
Having looked at the working of a chatbot, we will now build a chatbot.

Watch Python Machine Learning Projects Season 1 Episode 26 Now

25
The Design of Chatbots
2016-12-27
Design of chatbots consists of parameters like mode of communication, the content, and so on. You will look at that in this video.

Watch Python Machine Learning Projects Season 1 Episode 25 Now

24
Building an Image Similarity Engine
2016-12-27
We will combine what we have studied so far to build an image similarity engine.

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23
Finding Similar Images
2016-12-27
We will use algorithms to find similar images in the database.

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22
Working with Images
2016-12-27
In order to work with images, we need to transform them into a matrix form, that is, numerical form.

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21
Machine Learning on Images
2016-12-27
It is very important to understand machine learning's concepts before working with it.

Watch Python Machine Learning Projects Season 1 Episode 21 Now

20
Modeling with Dynamic Time Warping
2016-12-27
Another algorithm to work with is dynamic time warping. It provides us a metric which will inform us about the similarity between two time series.

Watch Python Machine Learning Projects Season 1 Episode 20 Now

19
Building a Model and Evaluating Its Performance
2016-12-27
Now that we have our baseline, we will build our first regression model for prediction of stocks.

Watch Python Machine Learning Projects Season 1 Episode 19 Now

18
Developing a Trading Strategy
2016-12-27
Once you have studied the various aspects of the market, it is time to develop a trading strategy. You will learn it in this video.

Watch Python Machine Learning Projects Season 1 Episode 18 Now

17
What Does Research Tell Us about the Stock Market?
2016-12-27
Research is the most important thing before we start working on designing a strategy.

Watch Python Machine Learning Projects Season 1 Episode 17 Now

16
Setting Up Your Daily Personal Newsletter
2016-12-27
It would make life easier if you get a personalized e-mail of your stories, right? So you will learn how to do that in this video.

Watch Python Machine Learning Projects Season 1 Episode 16 Now

15
IFTTT Integration with Feeds, Google Sheets, and E-mail
2016-12-27
We have provided a training dataset. But we also need a stream of articles as a testing dataset to run our model against.

Watch Python Machine Learning Projects Season 1 Episode 15 Now

14
Support Vector Machines
2016-12-27
You will learn about the linear support vector machine in this video. The SVM algorithm separates data points linearly into classes.

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13
Natural Language Processing Basics
2016-12-27
Machine learning models work on numerical data. So we will need to transform our text into numerical data using NLP.

Watch Python Machine Learning Projects Season 1 Episode 13 Now

12
Using the embed.ly API to Download Story Bodies
2016-12-27
You can't move forward with just the URLs of the stories. You would need the full article. So let's check out how to do that in this video.

Watch Python Machine Learning Projects Season 1 Episode 12 Now

11
Creating a Supervised Training Set with the Pocket App
2016-12-27
To create a model, we have to first have a training dataset. We will use the pocket app for this.

Watch Python Machine Learning Projects Season 1 Episode 11 Now

10
Feature Importance
2016-12-27
It is important to know which features will make the offering successful. You can find that out in this section.

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9
Binary Classification
2016-12-27
Instead of giving the value of the return, you can predict the IPO for a trade you will buy or not buy. The model used is logistic regression.

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8
Feature Engineering
2016-12-27
The consideration and inclusion of all factors affecting the market is called feature engineering. Modeling this is as important as the data used in building the model.

Watch Python Machine Learning Projects Season 1 Episode 8 Now

7
The IPO Market
2016-12-27
Before deciding strategies for the IPO market, we need to study the IPO market and derive inferences from it.

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6
Putting It All Together
2016-12-27
To deploy our app, we'll move on to working in a text editor. You will put together the entire code to get the final result.

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5
Sending Real-Time Alerts Using IFTTT
2016-12-27
To get real-time alerts when a particular event occurs, we need to use IFTTT.

Watch Python Machine Learning Projects Season 1 Episode 5 Now

4
Parsing the DOM to Extract Pricing Data
2016-12-27
DOM is the structure of elements that form the web page. We need to get some details of the structure by parsing it.

Watch Python Machine Learning Projects Season 1 Episode 4 Now

3
Retrieving the Fare Data with Advanced Web Scraping Techniques
2016-12-27
After determining the source of the data, we need to retrieve the data.

Watch Python Machine Learning Projects Season 1 Episode 3 Now

2
Sourcing Airfare Pricing Data
2016-12-27
We need the air pricing data from a website to work with. You will learn to do that in this section.

Watch Python Machine Learning Projects Season 1 Episode 2 Now

1
The Course Overview
2016-12-27
This video gives an overview of the entire course.

Watch Python Machine Learning Projects Season 1 Episode 1 Now

"Python Machine Learning Projects" from Packt Publishing is a comprehensive guide to mastering the principles and techniques of machine learning using Python. This show takes you through a series of exciting projects that will teach you how to build, debug, and deploy machine learning models for various applications.

The show starts by introducing you to the fundamentals of machine learning and Python programming. You will learn how to set up your environment, install the necessary libraries, and get started with your first project. From there, you will dive into the world of supervised and unsupervised learning, exploring different algorithms and techniques for training and evaluating models.

Throughout the show, you will work on a series of hands-on projects that will help you solidify your understanding of the concepts and techniques covered. You will learn how to build a movie recommendation system, predict housing prices, classify images using deep learning, and more. Each project is designed to challenge you and push you to think critically about the problem at hand.

As you progress through the show, you will also learn how to fine-tune your models, optimize performance, and avoid common pitfalls. You will explore different strategies for feature engineering, hyperparameter tuning, and model evaluation. By the end of the show, you will have the skills and knowledge needed to build powerful machine learning models for a wide range of applications.

What sets "Python Machine Learning Projects" apart is its practical approach to teaching. The show is filled with real-world examples, code snippets, and exercises that will help you apply what you've learned in a meaningful way. You will learn by doing, gaining valuable experience that you can take with you into your own projects.

Whether you are a beginner looking to get started with machine learning or an experienced data scientist looking to expand your skills, "Python Machine Learning Projects" has something to offer. With its clear and concise explanations, hands-on projects, and practical advice, this show is a valuable resource for anyone interested in learning machine learning with Python.

In conclusion, "Python Machine Learning Projects" is a must-watch show for anyone looking to dive deep into the world of machine learning. Packed with practical projects, insightful tips, and expert guidance, this show will help you develop the skills and knowledge needed to succeed in the field of machine learning. So, grab your Python IDE and get ready to embark on an exciting journey into the world of machine learning with "Python Machine Learning Projects" from Packt Publishing.

Python Machine Learning Projects is a series categorized as a new series. Spanning 1 seasons with a total of 39 episodes, the show debuted on 2016. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.

How to Watch Python Machine Learning Projects

How can I watch Python Machine Learning Projects online? Python Machine Learning Projects is available on Packt Publishing with seasons and full episodes. You can also watch Python Machine Learning Projects on demand at Amazon online.

Genres
Channel
Packt Publishing
Cast
Alexander T. Combs