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Jun 22, 2023 • 25 tweets • 6 min read
Data Science Dojo Information Session twitter.com/i/broadcasts/1…
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Jun 14, 2023 • 13 tweets • 4 min read
Building Data Apps with a Codeless Approach twitter.com/i/broadcasts/1…
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Apr 19, 2023 • 15 tweets • 5 min read
Rapid Assessment of Service & Application Security twitter.com/i/broadcasts/1…
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Mar 30, 2023 • 23 tweets • 5 min read
Data Science Dojo Information Session twitter.com/i/broadcasts/1…
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Mar 28, 2023 • 11 tweets • 3 min read
Building Robust Machine Learning Models from Noisy Labeled Data twitter.com/i/broadcasts/1…
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Mar 22, 2023 • 8 tweets • 3 min read
Time Series Analysis for Beginner Data Scientists twitter.com/i/broadcasts/1…
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Aug 31, 2022 • 8 tweets • 2 min read
Putting MLOps into Practice twitter.com/i/broadcasts/1…
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#Keras#MachineLearning1. Using the Sequential Class
The Sequential Model is just as the name implies. It consists of a sequence of layers, one after the other. From the Keras documentation.
👉 Let’s have a look at the #PythonLibraries that every #DataScientist should know in 2022, to maintain and improve their #Coding journey: kdnuggets.com/2022/04/python…1. Pandas was created by Wes McKinney in 2008, as a Python library for data manipulation and analysis. Wes McKinney built Pandas based on their need for a powerful and flexible analysis tool.
#Python#DataVisualization#Seaborn
Histogram: The chart above is a simple histogram of the “total_bill” variable. At a glance, we can see that a single meal at this restaurant generally costs around $10 to $25, and there is a positive skew due to some diners ordering more expensive food with prices above $50.
🤔 Every email marketing campaign will succeed or fail, but how do you categorize something as a success or a failure? That's where metrics come in: online.datasciencedojo.com/blogs/measure-…
#MarketingAnalytics#EmailMarketing#DSDojo1. A conversion is characterized as a completed action towards a goal. Whether it's signing up for a newsletter or buying a pair of sunglasses, someone performed an action that brought you closer to completing your goal.
#MachineLearning#Python#Libraries1. Numpy is a library that handles data, particularly one that helps us to manage large multidimensional arrays along with a huge collection of mathematical operations.
#Python#VisualizationTools#DataScience
1.Loguru:Loguru is a library that aims to make logging in Python enjoyable. Loguru provides many interesting functionalities, but one functionality that is the most helpful is the ability to catch unexpected errors and display which value of a variable causes your code to fail.
#DataInfrastructure#Roadmap#DataScience1. Growth in adoption of cloud software: As companies in all industries and sizes adopt various cloud-based software to run their businesses, they have had to deal with data sprawl across a number of different sources and systems.