Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
htm.java
Exploratory
ChatGPT
Jasper.ai
Copy.ai
Writesonic
Midjourney
Claude AI
DALL-E
Rytr
Scikit-learn ChatGPTI recently acquired access to ChatGPT, one of the most advanced language models out there, and I must say it has made a significant impact on my analytics work. It has definitely become an integral part of my daily use.
Analytical support: ChatGPT does a great job of providing accurate and timely answers. It can also help me analyze large amounts of data. Efficiency: This product allows me to work more efficiently by using it to quickly find information or get recommendations.
OpenAI continues to lead the way among the foundation model providers. I started using ChatGPT at 3.5 much like many other people. And although it was extremely powerful, it doesn't compare to what it has become with the new reasoning models like o1 and o3. These models produce outputs that are on a new level in terms of quality.
I've been using custom GPT's extensively and they are very valuable once you get them dialed in to your own specific workflows. they recently rolled out projects which also have the ability to add custom instructions. Many of the custom GPT's that I've made do not need anything other than custom instructions. They don't need Web hooks or documents to reference, so a project will suffice. projects also allow connecting and switching between some of the newer reasoning models as well while custom GPT's are limited to the 4o model.
Real time voice assistant is a game changer when you are on the go. And the human-like speech synthesis is incredible. uploading photos and giving the voice assistant access to live video from your phone has so many use cases that I have yet to realize.
Many of the tools we have on WordStudio are powered by the OpenAI family of models via API. We recently hooked some of the tools to their o1 model and the improvements in the outputs are astounding.
I've tried Anthropic's Claude and have experimented with DeepSeek, but I keep returning to ChatGPT for critical work.
My journey with GPT-4 as a novice programmer has been nothing short of remarkable. I used it to write a game, and despite my limited programming knowledge, I was astonished by the results.
It makes coding suggestions, completes my code, and even identifies bugs, which has been a game-changer for me. It feels like having a co-programmer who anticipates my needs and guides me in the right direction.
Based on our record, ChatGPT seems to be a lot more popular than Scikit-learn. While we know about 826 links to ChatGPT, we've tracked only 31 mentions of Scikit-learn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / over 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
AI-powered interfaces: Tools like ChatGPT and Perplexity can give you an answer without ever loading a website. - Source: dev.to / 3 days ago
Systeme - for the landing page and CRM Retool - for creating the mockup screenshot Canva - image manipulation ChatGPT - wordsmithing text on the page and company logo Google Analytics - for monitoring traffic. - Source: dev.to / 10 days ago
Two of the most popular sources for doing that are ChatGPT and Grok. - Source: dev.to / 2 months ago
GPT (Generative Pre-trained Transformer) is an AI model developed by OpenAI that can understand and generate human-like text. It will power the conversational AI features of the customer support portal, enabling the system to provide automated responses and help with personalized support through natural language processing. - Source: dev.to / 3 months ago
Play with ChatGPT: Go to ChatGPT and start chatting. Ask it anything, you’ll be amazed! - Source: dev.to / 5 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Jasper.ai - The Future of Writing Meet Jasper, your AI sidekick who creates amazing content fast!
OpenCV - OpenCV is the world's biggest computer vision library
Copy.ai - We have created the world's most advanced artificial intelligence copywriter that enables you to create marketing copy in seconds!
NumPy - NumPy is the fundamental package for scientific computing with Python
Writesonic - If you’ve ever been stuck for words or experienced writer’s block when it comes to coming up with copy, you know how frustrating it is.