The 7 Best AI Tools for Data Science Workflow

 It is now evident that those who adopt AI quickly will lead the way, while those who resist change will be replaced by those who are already using AI. Artificial intelligence is no longer just a passing fad; it is becoming an essential tool in various industries, including data science. Developers and researchers are increasingly using AI-powered tools to simplify their workflows, and one such tool that has gained immense popularity recently is ChatGPT.

In this blog, I will discuss the 7 best AI tools that have made my life as a data scientist easier. These tools are indispensable in my daily tasks, such as writing tutorials, researching, coding, analyzing data, and performing machine learning tasks. By sharing these tools, I hope to help fellow data scientists and researchers streamline their workflows and stay ahead of the curve in the ever-evolving field of AI.

1. PandasAI: Conversational Data Analysis

Every data professional is familiar with pandas, a Python package used for data manipulation and analysis. But what if I told you that instead of writing code, you can analyze and generate data visualizations by simply typing a prompt or a question? That's what PandasAI does - it's like an AI Agent for your Python workflow that automates data analysis using various AI models. You can even use locally run models. 

2. GitHub Copilot: Your AI Code Assistant 

GitHub Copilot is now necessary if you are a full time developer or dealing with the code everyday. Why? It enhances your ability to write clean and effective code faster. You can even chat with your file and debug faster or generate context aware code. 

3. ChatGPT: Chat Application Powered by GPT-4

ChatGPT has been dominating the AI space for 2 years now. People use it for writing emails, generating content, code generation, and all kinds of nominal work-related tasks. 

4. Colab AI: AI Powered Cloud Notebook

If you have trained a deep neural network for a complex machine learning task, then you must have first trained it on Google Colab due to the availability of freely accessible GPUs and TPUs. With the surge in Generative AI, Google Colab has recently introduced some features that will help you generate code, debug faster, and autocomplete. 

5. Perplexity AI: Smart Search Engine

 

I have been using Perplexity AI as my new search engine and research assistant. It helps me learn about new technologies and concepts by providing concise and up-to-date summaries with links to relevant blogs and videos. I can even ask follow-up questions and get a modified answer. 

6. Grammarly: AI Writing Assistance

I want to let you know that Grammarly is an exceptional tool for individuals with Dyslexia. It helps me write content quickly and accurately. I have been using Grammarly for almost 9 years now, and I love the features that correct my spelling, grammar, and overall structure of my writing. Recently, they introduced Grammarly AI, which allows me to improve my writing with the help of generative AI models. This tool has made my life easier as I can now write better emails, direct messages, content, tutorials, and reports. It is a vital tool for me, much like Canva.

7. Hugging Face: Building the Future of AI

Hugging Face is not just a tool, but an entire ecosystem that has become an essential part of my daily work life. I use it to access datasets, models, machine learning demos, and APIs for AI models. Additionally, I rely on various Hugging Face Python packages for training, fine-tuning, evaluating, and deploying machine learning models.