PyCaret Tutorial
Automate data science projects and anomaly detection using PyCaret, an open-source library that streamlines machine learning workflows.
Docker End to End Implementation
Learn Docker fundamentals, build Flask apps, deploy ML models, and understand containerization for efficient development and deployment workflows.
Amazon SageMaker
Learn to build, train, and deploy ML models using AWS SageMaker, covering notebook instances, S3 buckets, XGBoost algorithm, and endpoint predictions.
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.
Julia Programming with Machine Learning Tutorials
Comprehensive introduction to Julia for machine learning, covering installation, basic programming concepts, and 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.
CRUD with Blazor WebAssembly & Web API in .NET 5
Learn to build a full-stack Blazor WebAssembly application with Web API in .NET 5, covering CRUD operations, API controllers, client-side implementations, and data management for a superhero-themed project.
Blazor WebAssembly E-Commerce Series
Build a comprehensive e-commerce website using Blazor WebAssembly, covering API integration, database management, authentication, shopping cart functionality, and payment processing with Stripe.
Scala Crash Course by a Scala Veteran - With Some JavaScript Flavor
Comprehensive Scala tutorial covering language fundamentals, functional programming concepts, object-oriented features, and advanced topics for beginners and experienced developers.
Scala Tutorial
Comprehensive guide to Scala programming, covering basics to advanced concepts. Learn syntax, object-oriented and functional programming, data structures, and practical application development.
Scala Online Training
Learn Scala programming fundamentals, syntax, and advanced concepts through hands-on practice. Covers data types, functions, collections, traits, and more for building robust applications.
Scala at Light Speed
Comprehensive Scala tutorial for programmers: learn basics, OOP, functional programming, pattern matching, and advanced features in a hands-on, fast-paced format.
FreeCAD Beginners Guide Chapter 2 - Part, Surfacing, Analysis, CNC and More
Comprehensive guide to FreeCAD 2022, covering Part, Surface, Path, Sheet Metal, FEM Analysis, and Assembly workbenches. Learn advanced 3D modeling techniques and practical applications.
FreeCAD- Mechanical Animation Series
Learn to create mechanical animations in FreeCAD, covering spring movements, assembly techniques, and kinematic skeletons. Ideal for beginners interested in 3D modeling and animation.
FreeCAD Tips and Tricks - Beginners & Expert Guides and Tutorials
Comprehensive guide to FreeCAD techniques, from beginner to expert level, covering various workbenches, Python scripting, and practical applications for 3D modeling and design.
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.
Numerical Analysis With Matlab
Learn iterative methods, interpolation, and numerical integration techniques with Matlab implementations for solving complex mathematical problems.