Machine Learning, Data Science and Generative AI with Python

$0.99
Instructor:
Sundog Education by Frank Kane, Frank Kane, Sundog Education Team
Category:

Unlock the Power of Machine Learning & AI: Master the Art of Turning Data into Insight

Discover the Future of Technology with Our Comprehensive Machine Learning & AI Course – Featuring Generative AI, Deep Learning, and Beyond!

In an era where Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing industries across the globe, understanding how giants like Google, Amazon, and Udemy leverage these technologies to extract meaningful insights from vast data sets is more critical than ever. Whether you’re aiming to join the ranks of top-tier AI specialists—with an average salary of $159,000 as reported by Glassdoor—or you’re driven by the fascinating challenges this field offers, our course is your gateway to an exciting new career trajectory.

 

What you’ll learn
  • Build generative AI systems with OpenAI, RAG, and LLM Agents
  • Build artificial neural networks with Tensorflow and Keras
  • Implement machine learning at massive scale with Apache Spark’s MLLib
  • Classify images, data, and sentiments using deep learning
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Data Visualization with MatPlotLib and Seaborn
  • Understand reinforcement learning – and how to build a Pac-Man bot
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Use train/test and K-Fold cross validation to choose and tune your models
  • Build a movie recommender system using item-based and user-based collaborative filtering
  • Clean your input data to remove outliers
  • Design and evaluate A/B tests using T-Tests and P-Values
Course content
16

16 sections • 148 lectures • Total duration 20 h 30 min

Getting Started
Statistics and Probability Refresher, and Python Practice
Predictive Models
Machine Learning with Python
Recommender Systems
More Data Mining and Machine Learning Techniques
Dealing with Real-World Data
Apache Spark: Machine Learning on Big Data
Experimental Design / ML in the Real World
Deep Learning and Neural Networks
Generative Models
Generative AI: GPT, ChatGPT, Transformers, Self Attention Based Neural Networks
The OpenAI API (Developing with GPT and ChatGPT)
Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents
Final Project
You made it!