Description
The Power of ChatGPT in Python & Data Science Data Science Course Welcome to my Data Science | The Power of ChatGPT in Python and Data Science Course Data Science and ChatGPT Complete hands-on Python training with Chat GPT using data science, AI, and machine learning. Applying data science is an in-demand skill in many industries around the world – including finance, transportation, education, manufacturing, HR, and banking. Explore data science courses using Python, statistics, machine learning, and more to expand your knowledge. If you’re interested in research, statistics, and analytics, consider pursuing a data science education. OAK Academy’s Python teachers specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels. Whether you want to work in machine learning or finance, or pursue a career in web development or data science, Python is one of the most important skills you can learn. Python, Python Programming, Python Examples, Python Examples, Practical Python, Python Python, Python Python, Python with Examples, Python : Learn Python with Practical Examples Real Python, Learn Python, Real Python Python’s simple syntax, especially for programs suitable for desktop, web and business. Python’s design philosophy emphasizes readability and usability. Python was developed with the assumption that there should be only one way (and preferably a clear way) to do things, a philosophy that has led to a strict degree of code standardization. The original programming language is very small, and its standard library is large. In fact, Python’s large library is one of its biggest advantages, as it provides programmers with a variety of tools suitable for different tasks.
ChatGPT is an artificial intelligence chatbot prototype developed by OpenAI that specializes in conversations. A chatbot is a large language model that is well-tuned with supervised and reinforcement learning techniques. ChatGPT is an excellent tool for generating text, code, and summarizing articles. Data scientists can effectively use the power of this LLM tool to generate code snippets for common data science tasks such as data loading, data preprocessing, model training, and evaluation. ChatGPT is a powerful tool that data scientists can use to improve their work. With its natural language processing capabilities, ChatGPT can provide fast and accurate answers to a wide range of data mining questions, making it an indispensable resource for those working in the field.
Do you want to learn one of the skills required by employers? If so, you have come to the right place. We have developed for you “Python: Python Learn Python with Real Python Hands-On Exams”, a simple training course for the Python programming language.
In this course, you will get simple explanations with practical projects. With my course, you will learn Python programming step by step. I have made Python 3 programming easy and straightforward with exercises, challenges and many real examples. This Python course is for everyone! “Python: Learn Python with real Python examples” has something for everyone! If you have no previous knowledge, no problem! This course is expertly designed and aimed at everyone, from absolute beginners to professionals (for a refresher).
Why Python?
Python is a general-purpose, versatile, high-level programming language. The best thing about Python is that it supports many of today’s technologies, including extensive libraries for Twitter, data mining, scientific computing, design, backend servers for websites, engineering simulations, artificial learning, augmented reality, and more! Plus, it supports all types of app development.
What’s included in the Data Science course? You’ll learn the power of ChatGPT in Python and Data Science
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Familiarity with datasets using ChatGPT
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Start exploratory data analysis (EDA) with ChatGPT
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Perform a univariate analysis with ChatGPT
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Perform a bivariate analysis with ChatGPT
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Perform a multivariate analysis with ChatGPT
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Perform correlation analysis with ChatGPT
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Prepare data for the machine learning model with ChatGPT
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Build a machine learning model with ChatGPT using a linear regression algorithm
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Developing a machine learning model with ChatGPT
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Perform feature engineering with ChatGPT
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Performing hyperparameter optimization with ChatGPT
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Download the dataset with ChatGPT
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Perform an initial analysis of the dataset with ChatGPT
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Perform the first operation on the dataset with ChatGPT
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Handling missing values using ChatGPT
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Perform bivariate analysis with CatPLot using ChatGPT
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Perform bivariate analysis with KdePLot using ChatGPT
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Investigating the correlation of variables using ChatGPT
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Perform a get_dummies operation with ChatGPT
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Get ready for logistic regression modeling with ChatGPT
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Create a logistic regression model with ChatGPT
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Investigation of the evaluation criteria in the logistic regression model with ChatGPT
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Perform a GridSearchCv operation with ChatGPT
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Reconstructing the model with the best parameters using ChatGPT
- Familiarity with datasets using ChatGPT
- Start exploratory data analysis (EDA) with ChatGPT
- Perform a univariate analysis with ChatGPT
- Perform a bivariate analysis with ChatGPT
- Perform a multivariate analysis with ChatGPT
- Perform correlation analysis with ChatGPT
- Prepare data for the machine learning model with ChatGPT
- Build a machine learning model with ChatGPT using a linear regression algorithm
- Developing a machine learning model with ChatGPT
- Perform feature engineering with ChatGPT
- Performing hyperparameter optimization with ChatGPT
- 2.1 Loading records with ChatGPT
- Perform an initial analysis of the dataset with ChatGPT
- Perform the first operation on the dataset with ChatGPT
- Handling missing values using ChatGPT
- Perform bivariate analysis with CatPLot using ChatGPT
- Perform bivariate analysis with KdePLot using ChatGPT
- Investigating the correlation of variables using ChatGPT
- Perform a get_dummies operation with ChatGPT
- Get ready for logistic regression modeling with ChatGPT
- Create a logistic regression model with ChatGPT
- Investigation of the evaluation criteria in the logistic regression model with ChatGPT
- Perform a GridSearchCv operation with ChatGPT
- Reconstructing the model with the best parameters using ChatGPT
This course is suitable for people who
- Anyone who wants to start learning Python and the Data Science Bootcamp
- Anyone who needs a complete guide to getting started and continuing to work with Python in data analysis
- And also those who want to learn how to develop Python programming
- Anyone who wants to explore chatgpt
- Anyone who wants to use chatgpt in the field of data science
Details about the data science course “The Power of ChatGPT in Python & Data Science”.
- Editor: Udemy
- Teacher: Oak Academy , Ali̇ CAVDAR
- Training level: beginner to advanced
- Training duration: 5 hours and 40 minutes
- Number of courses: 38
The headings of the Data Science course The Power of ChatGPT in Python & Data Science on 12.2023
Prerequisites for the Data Science course The Power of ChatGPT in Python & Data Science
- A working computer (Windows, Mac or Linux)
- Knowledge of the Python programming language
- Motivation to learn the second largest number of job postings relative programming language among all other
- Desire to learn machine learning in Python
- Curiosity about Python programming
- I want to learn Python programming, Pycharm and Python Pycharm
- Nothing else! It’s just you, your computer and your ambition to get started today
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