Python for Machine Learning - Machine Learning Tutorial for Beginners
Comprehensive introduction to Python for machine learning, covering essential libraries like NumPy, Pandas, and Seaborn. Includes practical examples and guidance for beginners.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Learn Python for machine learning, covering key concepts, popular packages, and algorithms like linear regression and K-nearest neighbor. Gain practical skills for a high-paying career in this rapidly growing field.
Learn Python Step By Step - Learn Python Programming
Comprehensive Python tutorial for beginners, covering fundamentals, domain-specific applications, data handling, and career preparation. Ideal for aspiring programmers seeking practical skills.
Web Scraping with Python
Learn Python web scraping techniques to extract data from websites efficiently. Gain practical skills for automating data collection and analysis from online sources.
SQL with Python - How to Connect Python with SQL Database
Learn to integrate Python with SQL databases, enabling efficient data management and manipulation for powerful database applications.
Python for Non-Programmers
Beginner-friendly introduction to Python programming, covering fundamentals, popular libraries, and career opportunities. Ideal for non-programmers looking to start coding.
Analyzing IPL Data Using Python
Learn to analyze IPL data using Python, pandas, matplotlib, and seaborn. Gain hands-on experience in data visualization and exploratory analysis while developing practical Python skills.
Python for Machine Learning - Machine Learning Tutorial - Python Tutorial
Explore Python libraries for machine learning, including NumPy, Pandas, and Seaborn. Learn data manipulation, visualization, and practical ML implementation through examples and hands-on demonstrations.
Python3 for Pentesting - Developing a TCP Server and Understanding Sockets
Develop a TCP server and understand network sockets in Python3 for penetration testing. Learn to create custom scripts for ethical hacking and cybersecurity applications.
Building a React Stable Diffusion App in 15 Minutes
Build a React app for Stable Diffusion image generation in 15 minutes, combining Python and JavaScript. Includes code, deployment tips, and a challenge to improve upon the previous UI.
Automated Screenshot Tweeting Twitter Bot in Python - Build and Deploy
Learn to create an automated Python Twitter bot that tweets website screenshots, using GitHub Actions for scheduling and deployment.
Streamlit Button CSS Customization - Wordle Spoiler Tutorial
Enhance Streamlit apps with custom button CSS, web scraping, and interactive features. Deploy on Hugging Face Spaces and Streamlit Cloud for a polished Wordle spoiler application.
Building a PDF to Excel Table Extraction App with Python and Camelot - Day 3
Build a Python web app to extract tables from PDFs using Camelot and Streamlit. Learn file uploading, data conversion, and table display techniques.
Wordle Solver - Build and Deploy Streamlit App Tutorial
Learn to build and deploy a Streamlit app that assists with the popular game Wordle, using Python and NLTK. Perfect for non-native English speakers seeking word clues.
Streamlit ML Web App Deploy on Hugging Face Spaces with Github Actions
Learn to deploy Streamlit ML web apps on Hugging Face Spaces using GitHub Actions. Covers workflow setup, code editing with GitHub.dev, and continuous deployment for efficient ML app hosting.
Automate Budgeting with Python and Planning Analytics
Automate budgeting and forecasting using Python, Planning Analytics, and AutoAI. Learn to extract data, generate ML models, and create predictions for improved financial planning.
Build a Deep Learning Selfie Segmentation Web App Using Gradio
Learn to create a web app for selfie segmentation using Mediapipe, Gradio, and Python. Develop skills in background removal, machine learning integration, and app development with hands-on coding.
Python Lists and Tuples for Machine Learning - Day 5 of 30 Days of ML
Learn Python lists and tuples for machine learning, focusing on storing and managing ordered collections of values. Practical examples and exercises included to reinforce key concepts.
Python Tutorial to Build Image-to-Text App Using EasyOCR and Streamlit
Build an image-to-text web app using EasyOCR and Streamlit. Extract text from images with Python in this hands-on data science project. Learn web app development and optical character recognition.
Python Functions and Getting Help - Kaggle 30 Days of ML Day 3
Learn Python functions for machine learning, including defining and calling functions, getting help, and practical exercises to reinforce your understanding.
Python Basics for Machine Learning - Day 2 of Kaggle's 30 Days of ML Challenge
Learn Python fundamentals for machine learning, covering data manipulation, visualization, and deep learning tools in this comprehensive 30-day challenge.