Across all companies, product managers tend to define project success metrics (36 percent), with executive management (29 percent) and data…
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Leveling up AI-literacy for PMs
Product managers are increasingly responsible for shipping machine learning-driven product features, making critical product decisions based on machine learning techniques,…
Continue ReadingAn introduction to web scraping with Python
In order to make them complete, we just need to add before them the URL of the main page: http://books.toscrape.com/index.html…
Continue Reading7 Tips to Getting a Data Science Job Faster
Well, I put it in bold so you should get the idea.Networking allows you to learn about companies, jobs that…
Continue ReadingPublish Data Outside Your Data Lake with a Spark Connector
Tableau’s coorporate solution Tableau Server for instance, uses either Tableau Data Extract (.tde) or — more recently — Hyper (.hyper), as storage formats for…
Continue ReadingGetting Data ready for modelling: Feature engineering, Feature Selection, Dimension Reduction (Part 1)
Encoding: So, What and Why is Encoding?Most algorithms we use work with numerical values whereas more often than not categorical…
Continue ReadingEffective Visualization of Multi-Dimensional Data — A Hands-on Approach
Do remember you need to create your bins manually if you are using the scatterplot functionality from matplotlib as opposed…
Continue ReadingYou Can Design a Good Chart with R
Whether Tufte meant it or not, this question of whether R users think of design as worth their time and…
Continue ReadingPython vs R for Data Science: And the winner is..
Python’s suite of specialized deep learning and other machine learning libraries includes popular tools like scikit-learn, Keras, and TensorFlow, which…
Continue ReadingElijah Meeks
It shows the palette in use across a variety of data visualization types but also measures the individual colors using…Visualizing…
Continue ReadingMaster Python through building real-world applications (Part 1)
Get close matches function takes the word the user has entered as the first parameter and our whole data set…
Continue ReadingMaster Python through building real-world applications (Part 2)
You must load data and extract relevance data to plot your markers..Here, we have added the data of volcanoes in…
Continue ReadingBenjamin Lau
I extracted skills recruiters were looking for, went through reviews from class central, combined that with advice from the community,…
Continue ReadingLearning More with Less
From a data perspective that means we see conversational datasets that are highly contextual to a partner in the language…
Continue ReadingShould you become a data scientist?
It’s the question that should be on every aspiring data scientist’s mind: “should I become a data scientist?” This question…
Continue ReadingAre we there yet?
I like formalizing these ideas so everyone on the team knows how it’s going to work.Here are a couple of…
Continue Reading6 Emotionally Rewarding Data Science Projects
6 Emotionally Rewarding Data Science ProjectsThe field of data science is best-suited for those who love mathematics and working with numbers.While…
Continue ReadingMachine Learning Is The Future Of Cancer Prediction
The model tested using BN’s, ANN’s, SVM’s, DT’s and RF’s to classify patient data into those with cancer relapses and…
Continue ReadingWill Haberman’s Survival Data Set make you diagnose Cancer?
Below you can see the 1D scatter plot using data feature Age and Axillary nodesHere you can observe the data…
Continue ReadingComparative Study of Classifiers in predicting the Income Range of a person from a census data
This comparative study can further be used as a basis for improving the present classifiers and techniques resulting in making…
Continue ReadingObserving is not intervening
For this, we need to select the sample corresponding to Drug 2 = NoNo Drug 2 tableand calculate the probability of…
Continue ReadingPreparing for in-person data science interviews
So, while large part of what I am going to write is generic and hopefully useful for everyone, some parts…
Continue ReadingSimpson’s Paradox and Interpreting Data
Simpson’s paradox highlights one of my favourite things about data: the need for good intuition regarding the real world and…
Continue ReadingThe Tragedy of #OpenData
But a great way to learn about The Tragedy of The Commons.The Tragedy of #OpenDataIt Is A Commons Tale (no, that…
Continue ReadingWhy Kaggle will NOT make you a great data-scientist
Why Kaggle will NOT make you a great data-scientistPranay DaveBlockedUnblockFollowFollowingDec 6Want to be an Eagle or Kaggle data scientist ?There is…
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