Learn Stash
Visuals of Earth
No Zero Days
Ahahobby
Sloth Worth
Productivity
Oyster HR
The Yellow Wallpaper
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
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WEKA
Learn Stash PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
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Based on our record, Pandas seems to be a lot more popular than Learn Stash. While we know about 219 links to Pandas, we've tracked only 3 mentions of Learn Stash. 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.
In October, we launched LearnStash.com as a paid membership. Essentially, we're trying to build an online "mecca" for lifelong learners. Most of our content revolves around improving your mindset, habits, and productivity. Source: over 3 years ago
The only thing is we put this at the bottom of our landing page and we don't really lead with it in our communication. I'm wondering if this is a mistake? It's part of our USP. I know Masterclass, Skillshare, and Udemy aren't personally connecting with new members or sending them gift cards. But I feel torn to not be a "good marketer" and agitate the problems of not investing in your personal growth? That's why we... Source: over 3 years ago
Hopefully, this was helpful! I actually recorded a workshop on this subject and you can get a customized Purpose Circle plan here. If you have any questions about how to make this plan your own feel free to PM me or comment. Thanks! Source: over 3 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 30 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 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 / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
Visuals of Earth - Gorgeous, minimal wallpapers for your phone
NumPy - NumPy is the fundamental package for scientific computing with Python
No Zero Days - Foster personal growth and be someone you're proud of 🙌
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Ahahobby - Ahahobby is a learning platform for holding one on one video calls with hobby enthusiasts.
OpenCV - OpenCV is the world's biggest computer vision library
