The data set is rather straightforward and trying to classify these data points into different letters seemed like a great…
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Finding Local Events Using Twitter Data
Using an existing dataset, we divided tweets into location buckets, used DBSCAN to define significant events, and selected a headline…
Continue ReadingImproving Clustering Performance Using Feature Weight Learning
For this purpose we use the loss metric:Here (1) represents the base weights (all 1's), and ρ represents the resulting…
Continue ReadingText Generation Using Recurrent Neural Networks
It has an average accuracy of 0.6245 and loss of 1.25 over 5 randomly sampled test sequences.Yes, but to talk…
Continue ReadingAutomated Keyword Extraction from Articles using NLP
The title and abstract have been concatenated after which the file is saved as a tab separated *.txt file.import pandas#…
Continue ReadingPython Top 10 Articles for the Past Month (v.Dec 2018)
Python Top 10 Articles for the Past Month (v.Dec 2018)MybridgeBlockedUnblockFollowFollowingDec 17For the past month, we ranked nearly 1,000 Python articles to…
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Python Top 10 Articles for the Past Month (v.Dec 2018)Web Development Top 10 Articles For the Past Month (v.Dec 2018)Machine Learning Top…
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30 Amazing Machine Learning Projects for the Past Year (v.2018)39 Open Source Swift UI Libraries For iOS App Development25 Amazing Open…
Continue ReadingJourney to Understand Bayes’ Theorem Visually
There is also a possibility for another event B to occur after A and the odds of that are denoted…
Continue ReadingWhy you should care about the Nate Silver vs. Nassim Taleb Twitter war
This is Taleb’s primary argument; FiveThirtyEight’s predictions do not behave like probabilities that incorporate all uncertainty and should not be…
Continue ReadingColor Identification in Images
5 in our case and the index.Match Images with colorWe now define a method match_image_by_color to filter all images that match…
Continue ReadingDeep Learning and Hyper-Personalization
Traditional neural networks only contain 2–3 hidden layers, while deep networks can have as many as 150.Deep learning models are…
Continue ReadingIn Praise of Artificial Stupidity
The frenzy is not limited to the Valley: a cloud of somewhat overlapping concepts — big data, data science, machine learning, Artificial…
Continue ReadingGetting Started with TensorFlow in Google Colaboratory
It is a very exciting technology that allows Data Scientists to focus on building Machine Learning models instead of the…
Continue ReadingBuilding a Skin Lesion Classification Web App
After adding a fully connected layer and through only training the last few layers, we obtain a model that can…
Continue ReadingDevelop a NLP Model in Python & Deploy It with Flask, Step by Step
Our ML systems workflow is like this: Train offline -> Make model available as a service -> Predict online.A classifier…
Continue Reading6 uncommon principles for effective data science
Choosing how to clean dirty data or what features to use will affect the accuracy of the model, but the…
Continue ReadingPredicting hospital length-of-stay at time of admission
The RMSE equation for this work is given as follows, where (n) is the number of hospital admission records, (y-hat)…
Continue ReadingWhat’s the fuss about Regularization?
Thus Lasso is useful in feature selection wherein it eliminates the unnecessary features by reducing their weights to zero and…
Continue ReadingReal Time Video Neural Style Transfer
The implementation of the model can be found in the PyTorch repository here.TrainingAn overview of the model architecture and training…
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Introduction to Interactive Time Series Visualizations with Plotly in PythonUp and running with the…How to Write a Jupyter Notebook ExtensionMake the Jupyter…
Continue ReadingFeature Selection Using Random forest
In random forests, the impurity decrease from each feature can be averaged across trees to determine the final importance of…
Continue ReadingAndrew Ng’s Machine Learning Course in Python (Linear Regression)
(https://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html)plt.plot(J_history)plt.xlabel("Iteration")plt.ylabel("$J(Theta)$")plt.title("Cost function using Gradient Descent")Plotting the cost function against the number of iterations gave a nice descending trend, indicating that…
Continue ReadingImplementing Hash Table Algorithms in Swift
Since the requirement to create a hashindex is specific to Keyable types, this action can be accessed through a protocol…
Continue ReadingImplementing Multiclass Logistic Regression using BigQuery ML
Other algorithm specific hyper-parameters should be mentioned in this block as well.# Train a modeltrain_query = """ create or replace…
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