Description
Data Science course The Power of ChatGPT in Python & Data Science. To the training course “Data Science”. The Power of ChatGPT in Python and Data Science ” I’m welcome. Data science and ChatGPT Complete hands-on Python training using Chat GPT with Data Science, AI, Machine Learning Application of 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 with Python, statistics, machine learning and more to enhance your knowledge. If you are into research, statistics and analytics, get data science training. The Python instructors at OAK Academy specialize in everything from software development to data analysis, and are known for their effective and friendly instruction for students of all levels. Whether you work in machine learning or finance, or are pursuing 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 example, Practical Python, Python Python, Python Python, Python with examples, Python: Learn Python with practical examples Real Python, Learn Python, Real Python Simple syntax of Python especially for programs Suitable for desktop, web and business. Python’s design philosophy emphasizes readability and usability. Python was developed under the assumption that there should be only one way (and preferably one clear way) of doing things, a philosophy that has led to a strict level of code standardization. The original programming language is very small and the standard library is large. In fact, Python’s large library is one of its biggest advantages, providing programmers with a variety of tools that are suitable for different tasks.
ChatGPT is an artificial intelligence chatbot prototype developed by OpenAI that specializes in conversation. Chatbot is a large language model, well tuned with supervised and reinforcement learning techniques. ChatGPT is an excellent tool capable of generating texts, codes 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 variety 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 the employer? If you think so, you are in the right place. We have designed “Python: Python Learn Python with Real Python Hands-On Exams” for you, which is a simple training course for the Python programming language.
In this course, you will have simple explanations about practical projects. With my course, you will learn Python programming step by step. I made Python 3 programming simple and easy with exercises, challenges and lots of real examples. This Python course is for everyone! “Python: Learn Python with real Python examples” is for everyone! If you have no previous experience, no problem! This course is expertly designed to teach everyone from complete beginners to professionals (as a refresher).
Why Python?
Python is a general-purpose, high-level, multipurpose 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! Also, it supports all kinds of app development.
What is in the Data Science course You will learn The Power of ChatGPT in Python & Data Science
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Familiarity with datasets using ChatGPT
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Get started with exploratory data analysis (EDA) using ChatGPT
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Perform univariate analysis using ChatGPT
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Perform bivariate analysis using ChatGPT
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Perform multivariate analysis using ChatGPT
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Perform correlation analysis using ChatGPT
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Prepare data for machine learning model using ChatGPT
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Create a machine learning model using linear regression algorithm with ChatGPT
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Development of machine learning model using ChatGPT
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Perform feature engineering using ChatGPT
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Performing Hyperparameter optimization using ChatGPT
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Download dataset using ChatGPT
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Perform initial analysis on the dataset using ChatGPT
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Perform the first operation on the Dataset using ChatGPT
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Dealing with 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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Examining the correlation of variables using ChatGPT
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Perform a get_dummies operation using ChatGPT
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Get ready for logistic regression modeling using ChatGPT
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Create a logistic regression model using ChatGPT
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Examining evaluation criteria in logistic regression model using ChatGPT
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Perform a GridSearchCv operation using ChatGPT
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Reconstruction of the model with the best parameters using ChatGPT
- Familiarity with datasets using ChatGPT
- Get started with exploratory data analysis (EDA) using ChatGPT
- Perform univariate analysis using ChatGPT
- Perform bivariate analysis using ChatGPT
- Perform multivariate analysis using ChatGPT
- Perform correlation analysis using ChatGPT
- Prepare data for machine learning model using ChatGPT
- Create a machine learning model using linear regression algorithm with ChatGPT
- Development of machine learning model using ChatGPT
- Perform feature engineering using ChatGPT
- Performing Hyperparameter optimization using ChatGPT
- 2.1 Loading datasets using ChatGPT
- Perform initial analysis on the dataset using ChatGPT
- Perform the first operation on the Dataset using ChatGPT
- Dealing with missing values using ChatGPT
- Perform bivariate analysis with CatPLot using ChatGPT
- Perform bivariate analysis with KdePLot using ChatGPT
- Examining the correlation of variables using ChatGPT
- Perform a get_dummies operation using ChatGPT
- Get ready for logistic regression modeling using ChatGPT
- Create a logistic regression model using ChatGPT
- Examining evaluation criteria in logistic regression model using ChatGPT
- Perform a GridSearchCv operation using ChatGPT
- Reconstruction of the model with the best parameters using ChatGPT
This course is suitable for people who
- Anyone who wants to start learning Python and data science bootcamp
- Anyone who needs a complete guide on how to get started and continue working with Python in data analysis
- And also, those who want to learn how to develop ptyhon programming
- Anyone who wants to explore chatgpt
- Anyone who wants to use chatgpt in the field of data science
Details of the Data Science course The Power of ChatGPT in Python & Data Science
- Publisher: 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 of the Data Science course The Power of ChatGPT in Python & Data Science
- A working computer (Windows, Mac, or Linux)
- Python Programming Language Knowledge
- Motivation to learn the second largest number of job postings relative program language among all others
- Desire to learn machine learning python
- Curiosity for python programming
- Desire to learn python programming, pycharm, python pycharm
- Nothing else! It’s just you, your computer and your ambition to get started today
Data Science course images The Power of ChatGPT in Python & Data Science
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