Machine Learning, Data Science and Generative AI with Python
Deal Score+8
Machine Learning, Data Science and Generative AI with Python
Complete hands-on machine learning and AI tutorial with data science, Tensorflow, GPT, OpenAI, and neural networks
Created by Sundog Education, Frank Kane | 19 hours on-demand video course
Update - 2024New! Updated with extra content and activities on generative AI, transformers, GPT, ChatGPT, the OpenAI API, and self attention based neural networks!
Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this Machine Learning, Data Science and Generative AI with Python course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!
What you’ll learn
- 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
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Who this course is for:
- Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
- Technologists curious about how deep learning really works
- Data analysts in the finance or other non-tech industries who want to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you’ll need some prior experience in coding or scripting to be successful.
- If you have no prior coding or scripting experience, you should NOT take this course – yet. Go take an introductory Python course first.
