We find many informative articles online providing an in-depth coverage of how we need to implement parts of a machine…
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Serverless Web scrap using AWS Lambda and S3 — Python
Get the data using the scrap function, add the date to the file name since this will run everyday and…
Continue ReadingResistance to becoming a Pythonista
SOLID are just principles; you can apply them in any language..This was eye opening for me…I started researching on Python:…
Continue ReadingHow fuzzy matching improve your NLP model
Using different algorithms to score strings between 0 and 100.To see whether we can query back expected location name, let…
Continue ReadingAndrew Ng’s Machine Learning Course in Python (Neural Networks)
The optimizing algorithm I am using is once again the same old gradient descent.def gradientDescentnn(X,y,initial_nn_params,alpha,num_iters,Lambda,input_layer_size, hidden_layer_size, num_labels): """ Take in…
Continue ReadingWhy Great Stories Fail on Medium and What You Can Do About it?
Why Great Stories Fail on Medium and What You Can Do About it?Here are some surprising things I found while analyzing…
Continue ReadingUnderstanding how LIME explains predictions
LIME produces an explanation by approximating the black-box model by an interpretable model (for example, a linear model with a…
Continue ReadingHow do I add Two Factor Authentication to a Website
Unparalleled secure logging in with the magic touch of your finger (wand not necessary).With this service integrated, the user is…
Continue ReadingSimple intent recognition and question answering with DeepPavlov
The tf-idf logistic regression that learns to assign weights to the words outperforms the rest tf-idf based models.ConclusionIn this article,…
Continue ReadingValidating Python Data with Cerberus
In order to validate the data coming in, we require a schema to define the validation rules.Defining the SchemaUnderstanding precisely how…
Continue ReadingGetting started with AWS Lambda Layers for Python
Getting started with AWS Lambda Layers for PythonAdrian HornsbyBlockedUnblockFollowFollowingDec 27You want to avoid errors that can occur when you install and…
Continue ReadingImplementation of Multi-Variate Linear Regression in Python using Gradient Descent Optimization from scratch
In other words, the minima of the Cost Function have to be found out.Batch Gradient Descent can be used as…
Continue ReadingDaniel van Flymen
Why you should use pyenv + Pipenv for your Python projectsThe missing guide for setting up a great…Learn Blockchains by Building OneThe fastest…
Continue ReadingWhat is the key skill that the best data scientists have?
Here are some examples of variables which can be engineered:Example of an analytical database created to feed a behaviour score…
Continue ReadingVisual Interpretability for Convolutional Neural Networks
The Jupyter notebook for each visualization is written in Keras and is available in my GitHub repository:himanshurawlani/convnet-interpretability-kerasVisualizing VGG16 Convolutional Neural…
Continue Reading(Almost) Real-Time Twitter Sentiment Analysis with Tweep & Vader
Let’s create a function to capture and display on a plot the sentiment of all 200 last tweets of Donald…
Continue ReadingLaunching and Scaling Data Science Teams: Project Summary
I used these conversations to write three best practices guide for launching and scaling data science teams and careers: one…
Continue ReadingPeriodically scraping websites, saving to Google Sheets, and firing Slack notifications
I hope this serves as a launch pad for users wanting to automate tedious tasks throughout their day to free…
Continue ReadingSpatial Frequency Analysis of Perforated Board Designs
For example, with a 90% cut-off, the above thresholded ranma image becomes:ResultsA correlation scatterplot of the power within 95% versus…
Continue ReadingBaffled by Covariance and Correlation??? Get the Math and the Application in Analytics for both the terms..
The values from PCA done using the correlation matrix are closer to each other and more uniform as compared to…
Continue ReadingPaper Summary: Neural Ordinary Differential Equations
to the neural network function parameters:The entire gradient computation algorithm, as presented by the authors, proceeds as follows in pseudocode:If…
Continue ReadingObject Detection on NVIDIA Jetson TX2
All we need to do is the following:cd /usr/local/lib/python3.5/site-packages/sudo mv cv2.cpython-35m-arm-linux-gnueabihf.so cv2.soRun Tensorflow graphAll code below is available on GitHub.First,…
Continue ReadingWeb Scraping Apartment Listings in Stockholm
This problem is solved in the function below which takes the same URL argument in order to calculate how many…
Continue ReadingGuide to Machine Learning in R for Beginners : Intro to Machine Learning
Quantitative variables typically have measurement units, such as pounds, dollars, years, volts, gallons, megabytes, inches, degrees, miles per hour, pounds…
Continue Reading如何獲取資料:擷取網頁內容(上)
如何獲取資料:擷取網頁內容(上)Python 使用 pyquery、R 語言使用 rvestYao-Jen KuoBlockedUnblockFollowFollowingJun 1Photo by Frances Gunn on UnsplashThe world’s most valuable resource is no longer oil, but data.The…
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