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Epython Lab

Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems. Buy ads: https://telega.io/c/epythonlab

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Training Neural Network with Tensorflow and Keras https://youtu.be/MXERXMbp15k
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Training Neural Network with TensorFlow and Keras

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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You notice that we have started writing a blog on topics that many developers, especially beginners, find challenging.
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Debugging and Troubleshooting in Python: A Developer’s Essential Guide

Debugging and troubleshooting are essential skills for any Python developer. While these tasks can be frustrating, they are a necessary…

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Python POP QUIZ: What is the output of the following code? 👉Learn More Python Tips and Tricks: https://bit.ly/Pythontoptips 👉Join Telegram https://t.me/epythonlab/ #python #shorts #pythontricks #epythonlab
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Learn how to perform hypothesis testing, t-tests, ANOVA, and chi-squared tests using SciPy! https://youtu.be/CDE81yY7VNA
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Learn how to perform hypothesis testing, t-tests, ANOVA, and chi-squared tests using SciPy!

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 https://youtu.be/CU0ejeVJGKo
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Pandas Tutorial - Step By Step for Beginners

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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Today we will share Beginners Pandas Step By Step Guide on YouTube. Topics to be covered: 1. Overview of Pandas 2. Pandas Data Structures 3. Data Preprocessing 4. Data aggregation 5. Data visualization. This tutorial is a guide for having pandas zero experience beginners. Stay Tuned and Subscribe @epythonlab on YouTube and Medium
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You bring Large Dataset, we give you insights Here's our work https://drive.google.com/file/d/16H7YQM6u-iH9QEOeZONbDhqg-GtyXwpy/view?usp=drive_link
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Here's Epythonlab Github, you can explore latest Data Engineering and AI Projects https://github.com/epythonlab
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epythonlab - Overview

Data Science Enthusiast | Predictive Analyst | Business Analyst | Python Developer | Content Developer | Trainer - epythonlab

Streamlit Dashboard Sample for Big Telecom Data Analytics https://telecomalnalytics.streamlit.app/
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