MySQL Database with Python
Learn to integrate MySQL with Python for data science, covering installation, database creation, CRUD operations, and essential SQL concepts for analytics.
Reinforcement Learning
Learn the fundamentals of reinforcement learning and implement basic concepts using Python for data science applications.
Cloud Computing - AWS
Explore AWS S3 for cloud storage, learn Python integration, and deploy machine learning apps on EC2 instances in this hands-on tutorial.
Exploratory Data Analysis
Learn advanced techniques for exploratory data analysis and feature engineering in house price prediction, including automated visualization tools and efficient EDA libraries.
PySpark with Python
Learn PySpark for big data processing: DataFrame operations, handling missing values, filtering, aggregations, MLlib basics, and Databricks integration. Includes linear regression implementation.
FreeCAD - Learn Python - Beginners Guide
Automate, animate, and control FreeCAD objects using Python. Mini-tutorials cover setup, input, data types, operators, loops, and GUI programming for beginners.
FreeCAD - Building an Amiga
Learn to recreate the iconic Amiga CD1200 using FreeCAD, from tracing photos to creating complex patterns with Python scripting. Perfect for retro enthusiasts and 3D modeling beginners.
Learn to Code with Python
Master Python basics: syntax, operators, data types, control structures, and loops. Gain practical coding skills through hands-on exercises and real-world examples.
NumPy Python Tutorials
Master NumPy fundamentals for efficient data manipulation and analysis in Python, enhancing your skills in scientific computing and data science.
Python Machine Learning Tutorials
Learn Python-based machine learning techniques including linear regression and principal component analysis through hands-on tutorials and practical implementations.
Statistics Tutorials Using Python
Learn essential statistical concepts and data visualization techniques using Python, covering descriptive and inferential statistics, distributions, and probability.
Building a Keylogger Using Python + Pynput
Learn to create a Python keylogger using Pynput library, covering file operations, keyboard event listening, and log file management for practical cybersecurity skills.
Kivy Tutorial - Building Mobile Apps with Python - KivyMD
Learn to build mobile apps with Python using Kivy and KivyMD. Master UI elements, themes, navigation, and screen management for creating professional-looking applications.
NumPy Tutorial - Your Entry to Learning Data Science
Comprehensive introduction to NumPy for data science, covering basics, indexing, array operations, matrices, reshaping, mathematics, linear algebra, statistics, and file handling.
Django - An Introduction for Beginners
Learn to build a personal website using Django 2.1, covering essential concepts from setup to deployment on Heroku, with practical examples and Bootstrap integration.
Django - Build a Landing Page with Python
Learn to build a landing page using Django 2.1 and Python, covering installation, server setup, URL handling, admin panel, templates, database integration, and form processing.
Building Games and Mobile Apps with Python
Learn to build interactive games and mobile apps using Python and Kivy framework. Covers GUI basics, game development, touch events, and mobile app creation with practical projects like Pong and Paint.
Python Django Tutorial - Building a Startup - Livestream
Learn to build a startup using Python and Django, covering templates, databases, user authentication, payments, and more in this comprehensive tutorial series.
Machine Learning
Explore key machine learning concepts, including confusion matrices, ROC curves, and AUC. Apply knowledge to real-world challenges and text analysis.
Machine Learning in Python With Scikit-Learn
Comprehensive guide to scikit-learn for machine learning in Python, covering model training, selection, evaluation, and text processing. Ideal for beginners and intermediate users.
Data Analysis in Python With Pandas
Master data analysis using pandas: manipulate, visualize, and extract insights from tabular data through hands-on exercises with real datasets and expert guidance.