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Data AnalysisBasic of Data Analysis using NumPy, Pandas, Matplotlib, seaborn, scikit-learn.
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“flower” mesh in PythonDo check out how we can wrtite a mesh code.
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Rock Paper Scissor A program that plays matches against four different bots, winning at least 60% of the games in each match.
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Mitti-MentorMentor your Soil with Mitti Mentor. Detects the type of your soil and provides a crop suggestion accordingly.
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Titanic Competitionbasic titanic ml
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RPA: Python code samplesRPA with help of Open AI ChatGPT, Llama2, Grok & Claude
I'm Amit Shukla, and I have been working on automating RPA tasks for over a decade now. Since the recent launch of ChatGPT, I am exploring ways to use its coding skills to automate small daily routines.
In this RPA series, we will use LLM code writing skills to build a trading bot from scratch. I do not view ChatGPT, Grok or Llama as a threat to my job, at least not yet. Instead, I believe it can assist me in writing smarter solutions to solve more significant problems.
The emphasis of this thread is not centered on exclusively using LLM (large language models) or discussing the advantages and disadvantages of AI coding. Rather, our main focus lies in RPA tasks and utilizing LLMs's assistance where suitable.
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ML Recommendation Engine in PythonRPA with help of Open AI ChatGPT, Llama2, Grok & Claude
I'm Amit Shukla, and I have been working on automating RPA tasks for over a decade now. Since the recent launch of ChatGPT, I am exploring ways to use its coding skills to automate small daily routines.
In this RPA series, we will use LLM code writing skills to build a trading bot from scratch. I do not view ChatGPT, Grok or Llama as a threat to my job, at least not yet. Instead, I believe it can assist me in writing smarter solutions to solve more significant problems.
The emphasis of this thread is not centered on exclusively using LLM (large language models) or discussing the advantages and disadvantages of AI coding. Rather, our main focus lies in RPA tasks and utilizing LLMs's assistance where suitable.
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RPA: Compress and Decompress scriptsRPA with help of Open AI ChatGPT, Llama2, Grok & Claude
I'm Amit Shukla, and I have been working on automating RPA tasks for over a decade now. Since the recent launch of ChatGPT, I am exploring ways to use its coding skills to automate small daily routines.
In this RPA series, we will use LLM code writing skills to build a trading bot from scratch. I do not view ChatGPT, Grok or Llama as a threat to my job, at least not yet. Instead, I believe it can assist me in writing smarter solutions to solve more significant problems.
The emphasis of this thread is not centered on exclusively using LLM (large language models) or discussing the advantages and disadvantages of AI coding. Rather, our main focus lies in RPA tasks and utilizing LLMs's assistance where suitable.
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Rock, Paper, ScissorsFor this challenge, you will create a program to play Rock, Paper, Scissors. A program that picks at random will usually win 50% of the time. To pass this challenge your program must play matches against four different bots, winning at least 60% of the games in each match.
In the file RPS.py you are provided with a function called player. The function takes an argument that is a string describing the last move of the opponent ("R", "P", or "S"). The function should return a string representing the next move for it to play ("R", "P", or "S").
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