Rob Mulla Courses

Detect Text in Images with Python - Pytesseract vs. EasyOCR vs. Keras OCR

1 rating

Comprehensive comparison of pytesseract, easyocr, and keras_ocr for extracting text from images using Python, with practical examples and performance analysis.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

AI Does All the Coding - What Could Possibly Go Wrong?

Explore the potential pitfalls of AI-powered coding with Cursor Agent as Rob Mulla demonstrates building a project where AI does all the coding, from repo creation to UI development and refinement.

• YouTube
• 1 hour 53 minutes
• Self-Paced
• Free Video

How to Code with AI in 2025 - A Beginner's Guide to Python Automation

Discover how to leverage AI for coding basics, from data scraping to dashboard creation, with practical Python projects designed for complete beginners.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Supercharged Hyperparameter Tuning with GPU Accelerated XGBoost and Optuna

Master hyperparameter tuning for XGBoost using Optuna optimization and leverage GPU acceleration for 5-15x faster model training with practical examples and visualizations.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

YOLOv8 Object Detection - First Look Live Coding

Explore YOLOv8 for object detection in Python, from installation to implementation on images, webcams, and videos. Includes hands-on coding and practical demonstrations.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Face Detection with Python - Live Coding

Explore Python face detection models for age, race, emotion, and keypoints. Compare results and implement various techniques in this hands-on coding session.

• YouTube
• 1 hour 54 minutes
• Self-Paced
• Free Video

Forecasting with the FB Prophet Model

Learn to use Facebook's Prophet model for time series forecasting in Python, covering data preparation, model training, evaluation, and incorporating holiday effects.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Data Science - Chess Data Analysis

Explore chess data analysis using Python, covering ELO differences, game upsets, PGN parsing, and Stockfish integration. Learn to visualize winning streaks and analyze professional games.

• YouTube
• 2 hours 35 minutes
• Self-Paced
• Free Video

Flight Delay Dataset Creation

Live coding session demonstrating the creation of a flight delay dataset using Python and Pandas. Learn data acquisition, cleaning, exploration, and visualization techniques with real-world airline data.

• YouTube
• 2 hours 18 minutes
• Self-Paced
• Free Video

Time Series Forecasting with XGBoost - Advanced Methods

Explore advanced time series forecasting with XGBoost, covering outlier removal, cross-validation, lag features, and future predictions. Enhance your skills in handling complex time-dependent data for improved forecasting accuracy.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Do These Pandas Alternatives Actually Work?

Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Solving an Impossible Riddle with Code

Explore Python coding to simulate and solve the 100 prisoner riddle, comparing random and loop strategies through data visualization and network analysis.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption

Learn to predict energy consumption using XGBoost and Python in this hands-on tutorial. Covers data preparation, feature engineering, model building, and forecasting techniques for time series analysis.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Video Data Processing with Python and OpenCV

Learn to process video data using Python and OpenCV, covering reading, writing, metadata extraction, image manipulation, and annotation. Gain essential skills for machine learning applications in computer vision.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Python Sentiment Analysis Project with NLTK and Transformers - Classify Amazon Reviews

Learn to classify Amazon review sentiment using NLTK's VADER and Huggingface's RoBERTa models in Python. Compare results and gain practical NLP skills for language modeling and data science.

• YouTube
• 45 minutes
• Self-Paced
• Free Video