Embark on a transformative journey into machine learning, data science, and generative AI with Python. The comprehensive course "Machine Learning, Data Science and Generative AI with Python" fills you with the tools and knowledge for maneuvering in the dynamically changing landscape of modern technology. Whether understanding the nuances of deep learning or diving deep into state-of-the-art developments in Generative AI, every module is crafted with pinpoint accuracy to demystify intricate concepts and empower practical application. From core Python through TensorFlow and Keras to nitty-gritty details, this course is designed for beginners through to experienced coders. Delve deeper into Deep Learning techniques such as MLPs, CNNs, and RNNs, and explore real-world applications through practical exercises. In line with this vision are industry-relevant skills and accessible learning, where the modules are so structured that there remains a seamless transition of theory to practice in meeting the challenges posed by real-life data.
Experience the future of technology first-hand using the latest advancements in Generative AI: transformers, GPTs, and the OpenAI API. Through hands-on projects and real-life scenarios, you're set up to succeed in the hard-hitting industry of tech with all the top tools and an understanding of the mechanics under the hood that fuel modern AI. Whether looking for something new to better your career or have a genuine interest in technology, the course "Machine Learning, Data Science and Generative AI with Python" would be your gateway towards unleashing the full potential of Machine Learning and AI using Python.
Take an inside look at the latest advances with Generative AI through experiences of the future in technology—transformers, GPTs, and the OpenAI API. This course will allow you hands-on projects using real-life scenarios to give you the mechanics of modern AI and get you ready to compete and excel in the tech world. Whether it is upgrading your career and job opportunity or plain interest in innovation, this course, "Machine Learning, Data Science and Generative AI with Python," is an open door that will take you through practical learning of Machine Learning and AI using Python.
Machine Learning, Data Science and Generative AI with Python Table of Contents:
- Create robust artificial neural networks with TensorFlow and Keras.
- Do large-scale machine learning using Apache Spark's MLLib.
- Use deep learning techniques in classifying images, data, and sentiments. Make accurate predictions using several regression models: linear, polynomial, and multivariate regression.
- Use Matplotlib and Seaborn to plot various kinds of insightful data analysis.
- Learn reinforcement learning concepts and develop practical applications like a Pac-Man bot.
- Implement classification algorithms like K-means clustering, Support Vector Machines, KNN, Decision Trees, Naive Bayes, and PCA. Optimize and fine-tune models with train/test and K-Fold cross-validation methods.
- Use collaborative filtering for item-based and user-based filtering techniques when building a movie recommender system.
- Learn proper cleaning practices to handle outliers in the data.
- Build A/B tests, T-tests, and P-values for rigorous statistical analysis.
Who is this course for?
- Software developers or programmers who want to transition into a data science or machine learning career.
- This will be very useful for any technologist eager to gain some insight into the mechanics of deep learning. The course, in general, as well as its approach, should appeal to data analysts from non-tech fields shifting base into tech who are familiar with some coding or scripting.
- If you're entirely new to coding and scripting, begin with an introductory Python course.
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