Canva
Piktochart
PicMonkey
Adobe Photoshop
Marq
VistaCreate
Sketch
Adobe InDesign
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
htm.java
Exploratory
Canva is a web-based design platform allowing users to quickly and easily create stunning visuals. With various templates and tools, businesses can create professional designs for social media posts, presentations, flyers, and more. Canva also allows users to save templates and collaborate with other designers, making it great for teams working together on projects. Not only is Canva easy to use, but it is also affordable, making it an excellent option for businesses on a budget. Use Canva Teams to connect with your team members and work on a project from different locations, making tracking progress and managing deadlines easy. You can also upload and store files, assign tasks, and communicate with each other in one centralized place. With Canva Teams, you can quickly and easily create stunning visually pleasing visuals that effectively communicate the project's message.
Canva Scikit-learngood
I consistently use Canva to create featured images for my blog. The free version itself is amazing.
User friendly app for beginners, also their features are easy to use, and they have fun features too. Also they have multiple templates whatever you make you have many options. Also they support beginners in start.
Based on our record, Canva should be more popular than Scikit-learn. It has been mentiond 226 times since March 2021. 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.
Chances are, you’ve used Canva — maybe to whip up a poster, design an Instagram story, or create something that just looks good without breaking being a professional designer. - Source: dev.to / 17 days ago
Canva Canva.com Drag-and-drop design platform with free templates for social media, presentations, and more. - Source: dev.to / 2 months ago
Imagine shuffling papers on a desk. Even though the desk is flat, papers stack in layers—some on top, others below. That's exactly what z-index does on websites. If you're familiar with tools like Canva, PowerPoint, Photoshop, or Figma, you know this feature as "Send to Back" or more accurately, "Arrange" or "Position". - Source: dev.to / 4 months ago
I'm continuing to use Adobe's Creative Cloud. Photoshop, Illustrator, and Premiere Pro are tools that I already know my way around so I'm keeping those close. I know that many people love how quick and easy it is to get something done with tools like Canva or Figma. I think whatever you are comfortable with and enables you to move fast you should keep using. - Source: dev.to / 6 months ago
Now, I’m not a designer, so for the promo images I just used Canva templates to create the promotional images in a style that seemed to fit. I think they came out good enough. What I was mostly going for was consistency. - Source: dev.to / 10 months ago
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 / 3 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 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 / 11 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 / about 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
Piktochart - Piktochart for Business Storytelling
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...
OpenCV - OpenCV is the world's biggest computer vision library
Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.
NumPy - NumPy is the fundamental package for scientific computing with Python