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Learn Python using ChatGPT | Grid Search CV | Hyperparameter Tuning and RandomizedSearchCV
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Hyper parameter Tuning (GridSearchCV)
Learn Python using ChatGPT | Grid Search CV | Hyperparameter Tuning and RandomizedSearchCV In this python machine learning tutorial for beginners we will look into,
1) how to hyper tune machine learning model paramers
2) choose best model for given machine learning problem
We will start by comparing traditional train_test_split approach with k fold cross validation. Then we will see how GridSearchCV helps run K Fold cross validation with its convenient api. GridSearchCV helps find best parameters that gives maximum performance. RandomizedSearchCV is another class in sklearn library that does same thing as GridSearchCV
but without running exhaustive search, this helps with computation time and resources. We will also see how to find best model among all the classification algorithm using GridSearchCV. In the end we have interesting exercise for you to solve.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #HyperParameter #GridSearchCV #sklearntutorials #scikitlearntutorials
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ChatGPT Tutorial - for all College students & Coders
How to use ChatGPT API Python for Beginners - Full ChatBOT Tutorial
In this video, we'll learn to build a ChatBOT using Python with ChatGPT API from OpenAI1. Learn how to get OpenAI Key Token2. Two different methods of using ...
1. Learn how to get OpenAI Key Token
2. Two different methods of using ChatGPT API in Python
3. Building a Python ChatGPT ChatBOT with openai Python package
4. Using ChatGPT API Completions End point
5. How to change ChatGPT API Parameters like temperature
6. Summary
What you’ll learn
Fundamentals of Python Programming Language.
Introduction and multiple use cases of ChatGPT.
Learn how to use ChatGPT for faster development of your coding Projects.
Learn about new technologies like Data Science and Machine Learning with Practical Projects.
Are there any course requirements or prerequisites?
A desire to learn about latest technologies like ChatGPT, Python, Data Science and Machine Learning.
Who this course is for:
Anyone who wants to get started with Python Programming and Learn about Data Science and Machine Learning with a very short learning curve as this course uses ChatGPT to make things fast and more efficient.
SO THIS IS ONE COMPLETE COURSE THAT WILL TEACH YOU ABOUT PYTHON, DATA SCIENCE AND MACHINE LEARNING AND HOW YOU CAN LEVERAGE THE POWER OF ChatGPT FOR A FASTER AND MORE EFFICIENT PROJECT DEVELOPMENT.
Python using ChatGPT | How to use ChatGPT API Python for Beginners | Master Python using ChatGPT |
How to use OPENAI Api in Python | ChatGPT Api python | chat gpt aip example
Topics for the video:
How to use OPENAI Api in Python
Chat GPT Api python
chat gpt api example
chat gpt api integration
chat gpt api key
#chatgpt #python #gpt3 #ai #openai #artificialintelligence #webdevelopment #programming #pythonprogramming #pythontutorial #pythonforbeginners #numpy #numpytutorial #array #autogpt #gpt
Learn Python using ChatGPT | Grid Search CV | Hyperparameter Tuning and RandomizedSearchCV In this python machine learning tutorial for beginners we will look into,
1) how to hyper tune machine learning model paramers
2) choose best model for given machine learning problem
We will start by comparing traditional train_test_split approach with k fold cross validation. Then we will see how GridSearchCV helps run K Fold cross validation with its convenient api. GridSearchCV helps find best parameters that gives maximum performance. RandomizedSearchCV is another class in sklearn library that does same thing as GridSearchCV
but without running exhaustive search, this helps with computation time and resources. We will also see how to find best model among all the classification algorithm using GridSearchCV. In the end we have interesting exercise for you to solve.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #HyperParameter #GridSearchCV #sklearntutorials #scikitlearntutorials
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#chatgpt #python #gpt3 #ai #openai #artificialintelligence #webdevelopment #programming
ChatGPT Tutorial - for all College students & Coders
How to use ChatGPT API Python for Beginners - Full ChatBOT Tutorial
In this video, we'll learn to build a ChatBOT using Python with ChatGPT API from OpenAI1. Learn how to get OpenAI Key Token2. Two different methods of using ...
1. Learn how to get OpenAI Key Token
2. Two different methods of using ChatGPT API in Python
3. Building a Python ChatGPT ChatBOT with openai Python package
4. Using ChatGPT API Completions End point
5. How to change ChatGPT API Parameters like temperature
6. Summary
What you’ll learn
Fundamentals of Python Programming Language.
Introduction and multiple use cases of ChatGPT.
Learn how to use ChatGPT for faster development of your coding Projects.
Learn about new technologies like Data Science and Machine Learning with Practical Projects.
Are there any course requirements or prerequisites?
A desire to learn about latest technologies like ChatGPT, Python, Data Science and Machine Learning.
Who this course is for:
Anyone who wants to get started with Python Programming and Learn about Data Science and Machine Learning with a very short learning curve as this course uses ChatGPT to make things fast and more efficient.
SO THIS IS ONE COMPLETE COURSE THAT WILL TEACH YOU ABOUT PYTHON, DATA SCIENCE AND MACHINE LEARNING AND HOW YOU CAN LEVERAGE THE POWER OF ChatGPT FOR A FASTER AND MORE EFFICIENT PROJECT DEVELOPMENT.
Python using ChatGPT | How to use ChatGPT API Python for Beginners | Master Python using ChatGPT |
How to use OPENAI Api in Python | ChatGPT Api python | chat gpt aip example
Topics for the video:
How to use OPENAI Api in Python
Chat GPT Api python
chat gpt api example
chat gpt api integration
chat gpt api key
#chatgpt #python #gpt3 #ai #openai #artificialintelligence #webdevelopment #programming #pythonprogramming #pythontutorial #pythonforbeginners #numpy #numpytutorial #array #autogpt #gpt