6/1/25

Restore VS Code After Windows Updates Remove It

Overview

Windows updates are meant to improve system stability, but occasionally, they restructure important folders, leading to unexpected issues. One problem some users have encountered is VS Code files being moved to a mysterious _ folder inside its installation directory. If this happens to you, don’t worry you can restore VS Code easily with a simple script!

Restore VSCode files after windows update remove it

Understanding the Issue

After certain Windows updates, your VS Code installation folder (C:\Users\{YourUsername}\AppData\Local\Programs\Microsoft VS Code) may contain a subfolder called _. Instead of properly maintaining the installation structure, the update isolates essential VS Code files within this _ folder, making it difficult for the application to launch correctly.

How to Fix It Manually

  1. Open File Explorer and navigate to:
C:\Users\{YourUsername}\AppData\Local\Programs\Microsoft VS Code
  1. If you see a _ folder, open it.
  2. Move all its contents back to the parent directory.
  3. Restart VS Code to ensure everything works normally.

Automate the Fix with a Script

If you want a one-click solution, this batch script will detect the misplaced files, prompt you for confirmation, and move them back automatically:

@echo off
setlocal

:: ==============================================================
:: Restore VS Code After Windows Updates Remove It
:: ==============================================================
:: Some Windows updates mistakenly move VS Code files into a "_" 
:: subfolder inside its main installation directory. This script 
:: checks if the folder exists and prompts the user before restoring 
:: the files to the correct location.
:: ==============================================================

:: Define the VS Code installation directory
set "vscodeDir=%USERPROFILE%\AppData\Local\Programs\Microsoft VS Code"

:: Define the misplaced folder path
set "underscoreDir=%vscodeDir%\_"

:: Check if the "_" directory exists
if not exist "%underscoreDir%" (
 echo No misplaced files found. Nothing to fix!
 exit /b
)

:: Prompt user for confirmation
echo A misplaced folder ("_") was found inside the VS Code installation directory.
set /p userInput=Do you want to move its contents back to the parent folder? (Y/N): 

:: Convert input to uppercase to handle lowercase entries
if /I not "%userInput%"=="Y" (
 echo Operation canceled.
 exit /b
)

:: Move files back to the parent directory
echo Moving files back to parent directory...
move "%underscoreDir%\*" "%vscodeDir%"
echo Done! The misplaced files have been restored.

endlocal

How to Use the Script

  • Copy the code into Notepad.
  • Save it as restore_vscode.bat (make sure it’s saved as All Files, not a .txt file).
  • Run the script by right-clicking and selecting Run as administrator.
  • If the _ folder exists, the script will ask for confirmation before moving the files.
  • Press Y and hit Enter to restore your VS Code files.

Automating the Process for Future Updates

If you find this problem recurring after every update, consider automating the fix:

  • Task Scheduler: Set up a scheduled task to run this script after each Windows update.
  • Startup Folder: Place the script in the Windows startup directory so it runs on boot.

By using this script, you’ll save time and frustration, ensuring VS Code remains fully functional after every Windows update.

Thanks for reading and follow me for more technical articles, videos and podcasts

👍 Originally published by ozkary.com

5/28/25

SaaS Fundamentals: A Primer's Guide for Success - May 2025 Session

Overview

Have you ever encountered a problem, big or small, and thought, 'Wouldn't it be great if there was software to solve this?' You envision a tool, a solution, something that would make life easier or a process more efficient. That spark of an idea, that 'what if' moment, is where innovation begins. But what if you could do more than just imagine it? What if you could take that spark and transform it into a real, thriving application? With the SaaS approach, that's not just a dream – it's an achievable reality. This presentation will show you the fundamental steps to take your software idea from a simple thought to a successful online service.

#Innovation Series

👉 May 2025 Session

SaaS Fundamentals  a Primer Guide

YouTube Video

Video Agenda

  • Introduction to SaaS
  • Planning for SaaS Success
  • Technical Approach & MVP
  • Automation, Security, and Data
  • Rollout and Market Presence
  • Continuous Retention and Support
  • How Do I Get Started?

Presentation

Introduction to Software as a Service (SaaS)

SaaS is a cloud-based software delivery model where users pay monthly or yearly to use it. It does not require the need to install anything or buy licenses.

Features:

  • Cloud hosted.
  • Monthly or yearly commitment.
  • Reduced cost.
  • Low risk investment for consumers.
  • Ongoing product updates that are seamless to the users.

👉 *Key takeaway: SaaS offers a convenient and cost-effective way to access and use software.

SaaS Fundamentals a Primer Guide - Solutions

Planning for SaaS Success

A SaaS concept should be about ideas that solve real-world problems and are possible to deliver without breaking the bank.

Concepts:

  • Problem Identification: Pinpoint a real-world problem your SaaS will solve. Validate user pain points.
  • Market Research: Assess market demand and analyze competitors to understand the landscape.
  • Business Models: Define pricing, subscription tiers, and payment options for revenue generation.
  • Financial Planning: Create a budget for development, tech, marketing, and support costs.
  • Technology Budget: Estimate costs for your tech stack, tools, and third-party services.
  • Marketing & Support Costs: Include marketing and customer support expenses in your financial plan.

👉 Key takeaway: Solid planning and an MVP are crucial for early validation.

SaaS Fundamentals a Primer Guide - Planning

Technical Approach & Minimum Viable Product (MVP)

The technical foundation of your SaaS is built during the MVP phase. Selecting the right technologies and defining the scope of your initial release are critical for efficient development and early user validation.

Concepts:

  • MVP Core Features: Define the essential features that address the core problem your SaaS solves.
  • Iterate with Feedback: Plan for continuous iteration based on user feedback collected during the MVP phase.
  • Tech Stack: Choose the development tools and platforms that best suit your project's needs.
  • Code/No-Code: Evaluate if no-code solutions can efficiently deliver the MVP's core functionality.
  • Cloud Provider: Select a reliable cloud hosting provider (Microsoft Azure, Google Cloud, AWS).
  • Hosting Options: Consider various hosting options based on scalability and performance requirements.

👉 Key takeaway: A focused MVP and a well-chosen tech stack accelerate early validation and development.

SaaS Fundamentals a Primer Guide - Minimum Viable Product

Operational Foundation: Automation, Security, and Data

A robust SaaS solution requires a strong operational foundation. This ensures efficient updates, seamless tenant creation, and secure cloud deployments.

Concepts:

  • Build Automation: Implement automation for deployment, updates, and infrastructure management to streamline operations.
  • Security: Establish a secure and scalable authentication and authorization system using federated identity management. Importance of data security and user privacy.
  • Data Management: Define data storage, backup, and recovery strategies to ensure data integrity and availability.
  • Ability to Scale: Design the system to handle increasing user loads and data volumes.

👉 Key takeaway: Use a third-party cloud service that provide those features

SaaS Fundamentals a Primer Guide - Operations

Launching Your SaaS: Marketing & Deployment

Launching your SaaS involves more than just coding; it's about building a strong market presence. A well-crafted marketing and product site, coupled with strategic deployment, will drive user adoption.

  • Marketing Site:
    • Creating a compelling marketing website to attract users.
    • SEO and content marketing strategies.
    • Use a CRM to track leads.
  • Product Site:
    • Creating a user-friendly product website with documentation and support resources.
  • Cloud Hosting:
    • Choosing a reliable cloud hosting provider (e.g., AWS, Azure, Google Cloud).
    • Scalability and reliability considerations.
  • Marketplace:
    • Exploring opportunities for listing your SaaS on marketplaces (e.g., Azure Marketplace, AWS Marketplace).
    • Benefits of marketplace distribution.

👉 Key takeaway: A strong online presence is essential for attracting and retaining users.

SaaS Fundamentals a Primer Guide - Marketing

Building Long-Term Success: Retention & Support

The journey doesn't end after launch. Retaining users and providing exceptional support are critical for long-term SaaS success.

  • Continuous Retention:
    • Implementing feedback mechanisms to gather user insights.
    • Regularly updating and improving the SaaS product.
    • Building a community around your SaaS.
  • Support:
    • Providing excellent customer support through various channels (e.g., chat, email, knowledge base).
    • Proactive support and troubleshooting.
    • Creating a knowledge base.

👉 Key takeaway: Continuous improvement and excellent support are crucial for long-term success.

SaaS Fundamentals a Primer Guide - User Retention

How Do I Get Started?

To begin your SaaS journey, it's crucial to follow the fundamental concepts we've discussed. These principles will guide you through the process of building a successful and sustainable SaaS solution.

Approach:

  • Find a Viable, Real Use Case:
    • Identify a practical problem that can be solved with a SaaS solution, ensuring it's feasible and cost-effective.
  • Scope the MVP and Define the Technical Approach:
    • Determine the core features for your Minimum Viable Product (MVP) and select the appropriate technology stack and cloud provider.
  • Build a Robust Operational Foundation:
    • Implement automation, establish strong security measures, and create a scalable data management strategy.
  • Launch with a Strong Market Presence:
    • Develop a compelling marketing site and a user-friendly product site, and explore marketplace opportunities.
  • Focus on Continuous Retention and Support:
    • Prioritize user feedback, deliver ongoing updates, and provide excellent customer support to build long-term success.
  • Embrace Iteration for Continuous Growth:
    • Build a culture of continuous improvement, regularly iterating on your product and processes based on user feedback and market trends.

👉 Key takeaway: By following to these fundamental concepts, you can lay a solid foundation for your SaaS journey.

Thanks for reading! 😊 If you enjoyed this post and would like to stay updated with our latest content, don’t forget to follow us. Join our community and be the first to know about new articles, exclusive insights, and more!

Leave comments on this post or contact me at:

👍 Originally published by ozkary.com

4/23/25

SaaS Fundamentals: A Primer's Guide for Success - April '25 Session

Overview

Have you ever encountered a problem, big or small, and thought, 'Wouldn't it be great if there was software to solve this?' You envision a tool, a solution, something that would make life easier or a process more efficient. That spark of an idea, that 'what if' moment, is where innovation begins. But what if you could do more than just imagine it? What if you could take that spark and transform it into a real, thriving application? With the SaaS approach, that's not just a dream – it's an achievable reality. This presentation will show you the fundamental steps to take your software idea from a simple thought to a successful online service.

#Innovation Series

SaaS Fundamentals  a Primer Guide

YouTube Video

👉 April 2025 Session

Video Agenda

  • Introduction to SaaS
  • Planning for SaaS Success
  • Technical Approach & MVP
  • Automation, Security, and Data
  • Rollout and Market Presence
  • Continuous Retention and Support
  • How Do I Get Started?

Presentation

Introduction to Software as a Service (SaaS)

SaaS is a cloud-based software delivery model where users pay monthly or yearly to use it. It does not require the need to install anything or buy licenses.

Features:

  • Cloud hosted.
  • Monthly or yearly commitment.
  • Reduced cost.
  • Low risk investment for consumers.
  • Ongoing product updates that are seamless to the users.

👉 *Key takeaway: SaaS offers a convenient and cost-effective way to access and use software.

SaaS Fundamentals a Primer Guide - Solutions

Planning for SaaS Success

A SaaS concept should be about ideas that solve real-world problems and are possible to deliver without breaking the bank.

Concepts:

  • Problem Identification: Pinpoint a real-world problem your SaaS will solve. Validate user pain points.
  • Market Research: Assess market demand and analyze competitors to understand the landscape.
  • Business Models: Define pricing, subscription tiers, and payment options for revenue generation.
  • Financial Planning: Create a budget for development, tech, marketing, and support costs.
  • Technology Budget: Estimate costs for your tech stack, tools, and third-party services.
  • Marketing & Support Costs: Include marketing and customer support expenses in your financial plan.

👉 Key takeaway: Solid planning and an MVP are crucial for early validation.

SaaS Fundamentals a Primer Guide - Planning

Technical Approach & Minimum Viable Product (MVP)

The technical foundation of your SaaS is built during the MVP phase. Selecting the right technologies and defining the scope of your initial release are critical for efficient development and early user validation.

Concepts:

  • MVP Core Features: Define the essential features that address the core problem your SaaS solves.
  • Iterate with Feedback: Plan for continuous iteration based on user feedback collected during the MVP phase.
  • Tech Stack: Choose the development tools and platforms that best suit your project's needs.
  • Code/No-Code: Evaluate if no-code solutions can efficiently deliver the MVP's core functionality.
  • Cloud Provider: Select a reliable cloud hosting provider (Microsoft Azure, Google Cloud, AWS).
  • Hosting Options: Consider various hosting options based on scalability and performance requirements.

👉 Key takeaway: A focused MVP and a well-chosen tech stack accelerate early validation and development.

SaaS Fundamentals a Primer Guide - Minimum Viable Product

Operational Foundation: Automation, Security, and Data

A robust SaaS solution requires a strong operational foundation. This ensures efficient updates, seamless tenant creation, and secure cloud deployments.

Concepts:

  • Build Automation: Implement automation for deployment, updates, and infrastructure management to streamline operations.
  • Security: Establish a secure and scalable authentication and authorization system using federated identity management. Importance of data security and user privacy.
  • Data Management: Define data storage, backup, and recovery strategies to ensure data integrity and availability.
  • Ability to Scale: Design the system to handle increasing user loads and data volumes.

👉 Key takeaway: Use a third-party cloud service that provide those features

SaaS Fundamentals a Primer Guide - Operations

Launching Your SaaS: Marketing & Deployment

Launching your SaaS involves more than just coding; it's about building a strong market presence. A well-crafted marketing and product site, coupled with strategic deployment, will drive user adoption.

  • Marketing Site:
    • Creating a compelling marketing website to attract users.
    • SEO and content marketing strategies.
    • Use a CRM to track leads.
  • Product Site:
    • Creating a user-friendly product website with documentation and support resources.
  • Cloud Hosting:
    • Choosing a reliable cloud hosting provider (e.g., AWS, Azure, Google Cloud).
    • Scalability and reliability considerations.
  • Marketplace:
    • Exploring opportunities for listing your SaaS on marketplaces (e.g., Azure Marketplace, AWS Marketplace).
    • Benefits of marketplace distribution.

👉 Key takeaway: A strong online presence is essential for attracting and retaining users.

SaaS Fundamentals a Primer Guide - Marketing

Building Long-Term Success: Retention & Support

The journey doesn't end after launch. Retaining users and providing exceptional support are critical for long-term SaaS success.

  • Continuous Retention:
    • Implementing feedback mechanisms to gather user insights.
    • Regularly updating and improving the SaaS product.
    • Building a community around your SaaS.
  • Support:
    • Providing excellent customer support through various channels (e.g., chat, email, knowledge base).
    • Proactive support and troubleshooting.
    • Creating a knowledge base.

👉 Key takeaway: Continuous improvement and excellent support are crucial for long-term success.

SaaS Fundamentals a Primer Guide - User Retention

How Do I Get Started?

To begin your SaaS journey, it's crucial to follow the fundamental concepts we've discussed. These principles will guide you through the process of building a successful and sustainable SaaS solution.

Approach:

  • Find a Viable, Real Use Case:
    • Identify a practical problem that can be solved with a SaaS solution, ensuring it's feasible and cost-effective.
  • Scope the MVP and Define the Technical Approach:
    • Determine the core features for your Minimum Viable Product (MVP) and select the appropriate technology stack and cloud provider.
  • Build a Robust Operational Foundation:
    • Implement automation, establish strong security measures, and create a scalable data management strategy.
  • Launch with a Strong Market Presence:
    • Develop a compelling marketing site and a user-friendly product site, and explore marketplace opportunities.
  • Focus on Continuous Retention and Support:
    • Prioritize user feedback, deliver ongoing updates, and provide excellent customer support to build long-term success.
  • Embrace Iteration for Continuous Growth:
    • Build a culture of continuous improvement, regularly iterating on your product and processes based on user feedback and market trends.

👉 Key takeaway: By following to these fundamental concepts, you can lay a solid foundation for your SaaS journey.

Thanks for reading! 😊 If you enjoyed this post and would like to stay updated with our latest content, don’t forget to follow us. Join our community and be the first to know about new articles, exclusive insights, and more!

Leave comments on this post or contact me at:

👍 Originally published by ozkary.com

3/26/25

SaaS Fundamentals: A Primer's Guide for Success

Overview

Have you ever encountered a problem, big or small, and thought, 'Wouldn't it be great if there was software to solve this?' You envision a tool, a solution, something that would make life easier or a process more efficient. That spark of an idea, that 'what if' moment, is where innovation begins. But what if you could do more than just imagine it? What if you could take that spark and transform it into a real, thriving application? With the SaaS approach, that's not just a dream – it's an achievable reality. This presentation will show you the fundamental steps to take your software idea from a simple thought to a successful online service.

#Innovation Series

SaaS Fundamentals  a Primer Guide

YouTube Video

Video Agenda

  • Introduction to SaaS
  • Planning for SaaS Success
  • Technical Approach & MVP
  • Automation, Security, and Data
  • Rollout and Market Presence
  • Continuous Retention and Support
  • How Do I Get Started?

Presentation

Introduction to Software as a Service (SaaS)

SaaS is a cloud-based software delivery model where users pay monthly or yearly to use it. It does not require the need to install anything or buy licenses.

Features:

  • Cloud hosted.
  • Monthly or yearly commitment.
  • Reduced cost.
  • Low risk investment for consumers.
  • Ongoing product updates that are seamless to the users.

👉 *Key takeaway: SaaS offers a convenient and cost-effective way to access and use software.

SaaS Fundamentals a Primer Guide - Solutions

Planning for SaaS Success

A SaaS concept should be about ideas that solve real-world problems and are possible to deliver without breaking the bank.

Concepts:

  • Problem Identification: Pinpoint a real-world problem your SaaS will solve. Validate user pain points.
  • Market Research: Assess market demand and analyze competitors to understand the landscape.
  • Business Models: Define pricing, subscription tiers, and payment options for revenue generation.
  • Financial Planning: Create a budget for development, tech, marketing, and support costs.
  • Technology Budget: Estimate costs for your tech stack, tools, and third-party services.
  • Marketing & Support Costs: Include marketing and customer support expenses in your financial plan.

👉 Key takeaway: Solid planning and an MVP are crucial for early validation.

SaaS Fundamentals a Primer Guide - Planning

Technical Approach & Minimum Viable Product (MVP)

The technical foundation of your SaaS is built during the MVP phase. Selecting the right technologies and defining the scope of your initial release are critical for efficient development and early user validation.

Concepts:

  • MVP Core Features: Define the essential features that address the core problem your SaaS solves.
  • Iterate with Feedback: Plan for continuous iteration based on user feedback collected during the MVP phase.
  • Tech Stack: Choose the development tools and platforms that best suit your project's needs.
  • Code/No-Code: Evaluate if no-code solutions can efficiently deliver the MVP's core functionality.
  • Cloud Provider: Select a reliable cloud hosting provider (Microsoft Azure, Google Cloud, AWS).
  • Hosting Options: Consider various hosting options based on scalability and performance requirements.

👉 Key takeaway: A focused MVP and a well-chosen tech stack accelerate early validation and development.

SaaS Fundamentals a Primer Guide - Minimum Viable Product

Operational Foundation: Automation, Security, and Data

A robust SaaS solution requires a strong operational foundation. This ensures efficient updates, seamless tenant creation, and secure cloud deployments.

Concepts:

  • Build Automation: Implement automation for deployment, updates, and infrastructure management to streamline operations.
  • Security: Establish a secure and scalable authentication and authorization system using federated identity management. Importance of data security and user privacy.
  • Data Management: Define data storage, backup, and recovery strategies to ensure data integrity and availability.
  • Ability to Scale: Design the system to handle increasing user loads and data volumes.

👉 Key takeaway: Use a third-party cloud service that provide those features

SaaS Fundamentals a Primer Guide - Operations

Launching Your SaaS: Marketing & Deployment

Launching your SaaS involves more than just coding; it's about building a strong market presence. A well-crafted marketing and product site, coupled with strategic deployment, will drive user adoption.

  • Marketing Site:
    • Creating a compelling marketing website to attract users.
    • SEO and content marketing strategies.
    • Use a CRM to track leads.
  • Product Site:
    • Creating a user-friendly product website with documentation and support resources.
  • Cloud Hosting:
    • Choosing a reliable cloud hosting provider (e.g., AWS, Azure, Google Cloud).
    • Scalability and reliability considerations.
  • Marketplace:
    • Exploring opportunities for listing your SaaS on marketplaces (e.g., Azure Marketplace, AWS Marketplace).
    • Benefits of marketplace distribution.

👉 Key takeaway: A strong online presence is essential for attracting and retaining users.

SaaS Fundamentals a Primer Guide - Marketing

Building Long-Term Success: Retention & Support

The journey doesn't end after launch. Retaining users and providing exceptional support are critical for long-term SaaS success.

  • Continuous Retention:
    • Implementing feedback mechanisms to gather user insights.
    • Regularly updating and improving the SaaS product.
    • Building a community around your SaaS.
  • Support:
    • Providing excellent customer support through various channels (e.g., chat, email, knowledge base).
    • Proactive support and troubleshooting.
    • Creating a knowledge base.

👉 Key takeaway: Continuous improvement and excellent support are crucial for long-term success.

SaaS Fundamentals a Primer Guide - User Retention

How Do I Get Started?

To begin your SaaS journey, it's crucial to follow the fundamental concepts we've discussed. These principles will guide you through the process of building a successful and sustainable SaaS solution.

Approach:

  • Find a Viable, Real Use Case:
    • Identify a practical problem that can be solved with a SaaS solution, ensuring it's feasible and cost-effective.
  • Scope the MVP and Define the Technical Approach:
    • Determine the core features for your Minimum Viable Product (MVP) and select the appropriate technology stack and cloud provider.
  • Build a Robust Operational Foundation:
    • Implement automation, establish strong security measures, and create a scalable data management strategy.
  • Launch with a Strong Market Presence:
    • Develop a compelling marketing site and a user-friendly product site, and explore marketplace opportunities.
  • Focus on Continuous Retention and Support:
    • Prioritize user feedback, deliver ongoing updates, and provide excellent customer support to build long-term success.
  • Embrace Iteration for Continuous Growth:
    • Build a culture of continuous improvement, regularly iterating on your product and processes based on user feedback and market trends.

👉 Key takeaway: By following to these fundamental concepts, you can lay a solid foundation for your SaaS journey.

Thanks for reading! 😊 If you enjoyed this post and would like to stay updated with our latest content, don’t forget to follow us. Join our community and be the first to know about new articles, exclusive insights, and more!

Leave comments on this post or contact me at:

👍 Originally published by ozkary.com

2/26/25

Discovering Machine Language a Primer Guide

Overview

Machine Learning can seem like a complex and mysterious field. This presentation aims to discover the core concepts of Machine Learning, providing a primer guide to key ideas like supervised and unsupervised learning, along with practical examples to illustrate their real-world applications. We'll also explore a GitHub repository with code examples to help you further your understanding and experimentation.

#BuildwithAI Series

Discovering Machine Language a Primer Guide

  • Follow this GitHub repo during the presentation: (Please star and follow the project for updates.)

👉 https://github.com/ozkary/machine-learning-engineering

YouTube Video

Video Agenda

Agenda:

  1. What is Machine Learning?

    • Definition and core concepts
  2. Why is Machine Learning Important?

    • Key applications and benefits
  3. Types of Machine Learning

    • Supervised Learning
    • Examples: Classification & Regression
    • Unsupervised Learning
    • Examples: Clustering & Dimensionality Reduction
  4. Problem Types

    • Regression: Predicting continuous values
    • Classification: Predicting categorical outcomes
  5. Model Development Process

    • Understand the Problem
    • Exploratory Data Analysis (EDA)
    • Data Preprocessing
    • Feature Engineering
    • Data Splitting
    • Model Selection
    • Training & Evaluation

Presentation

What is Machine Learning

ML is a subset of AI that focuses on enabling computers to learn and improve performance on a specific task without being explicitly programmed. In essence, it's about learning from data patterns to make predictions or decisions based on it.

Core Concepts

  • Learn from data
  • Improve performance with more training data
  • Main goal is to make predictions and decisions on new data
  • Learn the relation of data + outcome to define the model
  • The new data + model predicts an outcome

Discovering Machine Language a Primer Guide: What are LLMs?

Why is Machine Learning Important?

ML impacts how computers solve problems. Traditional systems rely on pre-defined rules programmed by humans. This approach struggles with complexity and doesn't adapt to new information. In contrast, ML enables computers to learn directly from data, similar to how humans learn.

  • Coding Rules
def heart_disease_risk_rule_based(age, overweight, diabetic):
     """
     Assesses heart disease risk based on a set of predefined rules.

     Args:
         age: Age of the individual (int).
         overweight: True if overweight, False otherwise (bool).
         diabetic: True if diabetic, False otherwise (bool).

     Returns:
         "High Risk" or "Low Risk" (str).
     """
     if age > 50 and overweight and diabetic:
         return "High Risk"
     elif age > 60 and (overweight or diabetic):
         return "High Risk"
     elif age > 40 and overweight and not diabetic:
        return "Moderate Risk"
     else:
         return "Low Risk"
  • Learning from data
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score


df = pd.DataFrame(data)
# Prepare the data
X = df[['Age', 'Overweight', 'Diabetic']]  # Features
y = df['Heart Disease']  # Target

# Split data into training and testing sets
# X has the categories/features
# y has the target value
# train data is for training
# test data is for testing
# .2 means 20% of the data is used for testing 80% for training
# 42 is the seed for random shuffling

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Train a Random Forest classifier
model = RandomForestClassifier()
model.fit(X_train, y_train)

# Make predictions on the test set
y_pred = model.predict(X_test)

# Evaluate the model
accuracy = accuracy_score(y_test, y_pred)
print(f"Accuracy of the model : {accuracy}")

# 70% - 80%: Often considered a reasonable starting point for many classification problems.
# 80% - 90%: Good performance for many applications.
# 90% - 95%: Very good performance. Often challenging to achieve, but possible for well-behaved problems with good data.
# > 95%: Excellent performance, potentially approaching the limits of what's possible for the problem. Be careful of overfitting if you're achieving very high accuracy.
# 100%: Usually a sign of overfitting.

👉 Jupyter Notebook

Types of ML Models - Supervised Learning

Examples

  • Regression: Predicting a continuous value (e.g., house prices, stock prices).
  • Classification: Predicting a category or class label (e.g., cat/dog/bird, disease/no disease).
  • Model Examples: Linear Regression, Logistic Regression, Decision Trees, Random Forest.

Discovering Machine Language a Primer Guide: Supervised Learning

Types of ML Models - Unsupervised Learning

Examples

  • Clustering: Grouping similar data points together (e.g., group patients by symptoms, age groups)

  • Association: Discovering relationships or associations between items (e.g., symptom association)

"Patients who report 'Fever' and 'Cough' are also frequently reporting 'Headache' or 'Muscle Aches'."

  • Model Examples: Clustering (k-means), association (Frequent Pattern Growth)

Discovering Machine Language a Primer Guide: Unsupervised Learning

Supervise Learning - Common Problem Types

Regression and Classification are two main problem types to solve. With Regression, we look to predict a continuous target variable like price, cost. With Classification, we look to predict a discrete target like a group or y/n class.

Problem Types

  1. Regression:

    • In regression, the target variable is continuous and represents a quantity or a number.
    • Example: Predicting house prices, temperature predictions, stock prices.
  2. Classification:

    • In classification, the target variable is discrete and represents a category or a class.
    • Example: spam vs. non-spam emails, predicting heart disease Y/N.

Discovering Machine Language a Primer Guide: Regression and Classification

ML Model Development Process - MLOps

Developing a new ML model involves understanding the core problem, then using a data engineering process to gather, explore, and prepare the data. We then move to the ML process to split the data, select the algorithm, train and evaluate the model.

  • Development Process
    • Understand the problem
    • Exploratory Data Analysis (EDA)
    • Data Preprocessing
    • Feature Engineering
    • Data Splitting
    • Model Selection
    • Train TRaining
    • Model Evaluate & Tuning
    • Deployment

MLOps is the operation process to manage the training, evaluation and deployment of your models

Discovering Machine Language a Primer Guide: MLOps process

👉 Vehicle MSRP Regression

Machine Learning Summary

Machine learning (ML) enables computers to learn patterns from data and make predictions or decisions without explicit programming, unlike rule-based systems. ML models improve as they process more data.

  • Supervised Learning:

    • Learns from labeled data (input-output pairs)
    • Regression: Predicts continuous values (e.g., house prices)
    • Classification: Predicts categories (e.g., heart disease y/n)
  • Unsupervised Learning:

    • Learns from unlabeled data (only inputs) and discovers patterns and structures.
    • Clustering: Grouping similar data points (e.g., group patients by symptoms, age groups)
    • Association: Discovering relationships between items (e.g., symptoms association)

While we've explored foundational areas, numerous other exciting topics exist, such as neural networks, natural language processing, computer vision, large language models (LLMs). Visit the repository for more exploration.

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👍 Originally published by ozkary.com