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Welcome to this tutorial on Training Neural Networks with TensorFlow and Ketras! In this tutorial, we'll explore how to build and train neural networks using the powerful TensorFlow and Keras libraries in Python. Neural networks have revolutionized the field of machine learning, allowing us to solve complex tasks ranging from image and speech recognition to natural language processing and much more. Today, we'll demystify the basics of neural networks and provide you with practical insights on how to leverage the TensorFlow and Keras frameworks to create your very own deep learning models. ----------------------------------------------------------------------------------- 💰Donate to us at
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Debugging and troubleshooting are essential skills for any Python developer. While these tasks can be frustrating, they are a necessary…
Learn how to use SciPy to perform hypothesis testing, t-tests, ANOVA, and chi-squared tests! In this video, I will cover the following topics: - What is hypothesis testing? - How to conduct a t-test in SciPy - How to conduct an ANOVA in SciPy - How to calculate r-squared in SciPy - How to conduct a chi-squared test in SciPy - Examples of how to use these statistical concepts to analyze data By the end of this video, you will have a good understanding of how to use SciPy to perform data analysis using hypothesis testing, t-tests, ANOVA, and chi-squared tests. ----------------------------------------------------------------------------------- 💰Donate to us at
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This is a comprehensive beginner's guide to pandas tutorial. In this tutorial, the following topics will be covered: 1. Overview of Pandas - Understanding the basic concepts of pdans 2. Pandas Data Structures - creating and manipulating pandas series and dataframe 3. Data Preprocessing 4. Data aggregation 5. Data visualization. ----------------------------------------------------------------------------------- 💰Join this channel to get exclusive access:
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