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Streamlit Python Course: Build a Machine Learning App to Predict Cancer 121gamers 0 Views • 25 days ago

Welcome to this Streamlit Python tutorial, where we will dive into creating an interactive machine-learning web application using the Streamlit framework! In this comprehensive project-based course, you'll learn how to build a machine-learning dashboard to predict whether a cell cluster is benign or malignant using Python and Streamlit. This tutorial is perfect for beginners, experienced developers, and data scientists looking to learn how to create powerful machine-learning projects that integrate with web applications.

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🚀 What you'll learn in this tutorial:

How to create a Streamlit dashboard
Training a logistic regression model for machine learning
Visualizing data using Plotly
Displaying predictions based on user input
Creating an AI full-stack app using Python

In this video tutorial, we train a logistic regression model using machine learning in Python. We will be using a dataset to predict whether a cell cluster is benign or malignant. Once our model is ready, we will integrate it into a Streamlit application that runs in the web browser. You'll see how easy it is to create an interactive dashboard using Streamlit and Python!

Next, we will visualize our data using Plotly to create informative and interactive charts. These visualizations will help users understand the predictions made by our machine-learning model. We'll then display the predictions based on the user's input, making our dashboard not only visually appealing but also highly functional.

Throughout the tutorial, we'll explore various techniques and best practices used by experts like Nicholas Renotte and Patrick Loeber. This Streamlit tutorial is an excellent resource for data science dashboard projects and a great way to learn how to create a machine learning app.

By the end of this course, you will have created an AI full-stack app using Python, Streamlit, and machine learning. You'll be ready to tackle your own machine-learning projects and create amazing data science dashboards!

Don't forget to like, comment, and subscribe to stay updated with more tutorials and projects in machine learning, data science, and web app development!

⏰ Timestamps
0:00 Intro
2:56 Download the data
6:23 Project setup
8:21 Clean the data
14:00 Train the model
21:06 Test the model
26:39 Export the model and scaler
32:33 Create the Streamlit app
38:48 Create the layout
44:18 Add the sidebar inputs
58:52 Create the chart
1:17:22 Scale the values for chart
1:25:30 Display the predictions
1:39:08 Add custom CSS
1:52:00 Deploy your app

🎯 Keywords: Streamlit Python, Streamlit Tutorial, Streamlit Dashboard, Machine Learning Python, Machine Learning App Tutorial, Python App, Machine Learning Projects, Machine Learning Projects for Beginners, Nicholas Renotte, Patrick Loeber, AI App, AI Full-Stack App, Data Science Dashboard, Data Science Dashboard Projects

#python #streamlit #MachineLearning #DataScience

Introduction to Python IDLE | IDLE Installation and Configuration Tutorial | Edureka 121gamers 0 Views • 25 days ago

** Python Certification Training: https://www.edureka.co/python **
This Edureka video on 'Python IDLE' will train you to use IDLE which is an IDE that comes as a default implementation when you install python.
Below are the topics covered in this video:
What is IDLE?
IDLE Installation
Working with IDLE
Configuration
Basic Examples

Python Tutorial Playlist: https://goo.gl/WsBpKe
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#Edureka #PythonEdureka #PythonIDLE #pythonProgramming #pythonTutorial #PythonTraining

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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!

- - - - - - - - - - - - - - - - -
About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

- - - - - - - - - - - - - - - - - - -
Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models

For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)

Android App using Python | Convert .Py to APK | #Kivy Tutorial 121gamers 0 Views • 25 days ago

Hello, Guys, I am Spidy. I am back with another video.

In this video, I am showing you how you can make a Cross-Platform app using python, which means a single app for windows & android. Here we are creating GUI using Kivy for windows then we are converting python code to APK.

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Chat with Multiple PDFs | LangChain App Tutorial in Python (Free LLMs and Embeddings) 121gamers 0 Views • 25 days ago

In this video you will learn to create a Langchain App to chat with multiple PDF files using the ChatGPT API and Huggingface Language Models.

Welcome to our comprehensive step-by-step tutorial on building a powerful chatbot that allows you to ask questions about your multiple PDFs using LangChain and ChatGPT API. In this project-based video tutorial, we will guide you through the process of harnessing the capabilities of LangChain, a cutting-edge framework for developing language model-powered applications.

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USEFUL LINKS
👉 Github repo: https://github.com/alejandro-ao/ask-multiple-pdfs

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--------------------------

Powered by ChatGPT, an advanced AI language model, our chatbot implementation enables you to interact with your PDF documents in a whole new way. We will also explore the utilization of Huggingface language models to enhance the chatbot's performance.

Throughout this Python tutorial, you'll learn how to integrate LangChain into your application, leveraging its data-awareness and agentic features, allowing your language model to tap into various data sources and interact with its environment seamlessly.

Key Topics Covered:
- Introduction to LangChain and its principles of data awareness and agency
- Exploring the capabilities of ChatGPT API and its potential for artificial intelligence applications
- Step-by-step walkthrough on setting up the LangChain framework in Python
- Integration of Huggingface language models for enhanced chatbot functionality
- Building a project-based chatbot application that answers questions based on your PDFs
- Optimizing your chatbot for efficient and accurate responses
- Best practices for leveraging open-source GPT models, including GPT-3.5 and GPT-4
- Unlocking the potential of ChatGPT and LangChain to create innovative applications

Whether you're a developer, AI enthusiast, or simply curious about the world of artificial intelligence, this tutorial is perfect for you. Join us on this exciting journey to develop your very own PDF-powered chatbot using LangChain, ChatGPT API, and the power of Python.

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TIMESTAMPS
0:00 Intro
1:31 Setup
3:26 Create GUI
8:50 Add your API Keys
11:46 How this works (Diagram)
16:41 Handle process button
19:43 Extract text from PDFs
24:33 Split text into Chunks
29:26 Embedings
32:30 OpenAI Embeddings
36:24 Instructor Embeddings
40:57 Create ConversationChain
46:18 Make conversation persistent
50:14 HTML templates
55:04 Display Chat History
1:02:05 Free Huggingface LLM
1:06:10 Conclusion

Keywords:
#ChatGPT #streamlit #langchain #OpenAI

Make first android app with python 121gamers 0 Views • 25 days ago

Get Free GPT4o from https://codegive.com
to create your first android app using python, you can use the kivy framework. kivy is an open-source python library for rapid development of multi-touch applications. it allows you to build cross-platform applications for android, ios, windows, linux, and macos. in this tutorial, we will walk you through creating a simple android app using python and kivy.

step 1: install kivy
first, you need to install kivy on your system. you can install kivy using pip by running the following command in your terminal or command prompt:

step 2: create the python script
create a new python script for your android app. you can use any text editor or an ide of your choice. here is a simple example of a python script that creates a basic kivy app:

in this script, we are creating a simple kivy app with a single button that displays the text "hello, kivy!".

step 3: build the android app
to build your python script into an android app, you can use tools like buildozer. buildozer is a tool that automates the process of building and packaging kivy applications for various platforms, including android.

first, install buildozer using pip:

next, create a `buildozer.spec` file in the same directory as your python script. this file contains the configuration settings for building your android app. here is an example `buildozer.spec` file for our simple app:

finally, run the following command to build your android app using buildozer:

this command will compile your python script, package it as an android app, deploy it to a connected android device or emulator, and run the app.

congratulations! you have successfully created your first android app using python and kivy. feel free to explore more features of kivy and customize your app further.

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AUTOMATE YOUR LIFE USING PYTHON - 3 Beginner Projects (tutorial) 121gamers 0 Views • 25 days ago

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Wondershare DemoCreator is an essential demo-making tool that helps learners, educators, freelancers and gamers to take idea-sharing to the next level!

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#Wondershare #DemoCreator #PresentWithDemoCreator

In this video, we build 3 very easy Python automation projects to automate your life!

The best way to learn Python FAST is through building projects that you're excited about.

We will learn web scraping, APIs, scripting, and other useful Python concepts by building these beginner Python project ideas.

Code - https://github.com/tuomaskivio....ja/3-automation-proj
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