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Pritish Jadhav
Pritish Jadhav

219 Followers

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Published in

Geek Culture

·Oct 11, 2022

Jupyter Extensions and tools to make life easier.

If Data is the new Oil, Python is the new Refinery. If you work with data, you have probably heard of Jupyter notebooks. Jupyter is a web-based interactive computing platform that supports over 40 programming languages including Python. I personally use Jupyter notebooks for prototyping and running ad-hoc python tasks…

Python

4 min read

Jupyter Extensions and tools to make life easier.
Jupyter Extensions and tools to make life easier.
Python

4 min read


Published in

Geek Culture

·Sep 6, 2022

How to Speed up Pandas by 100x

With Great power comes great responsibility. — Pandas is a Data Analysis python library that aids in working with tabular data stored in spreadsheets and databases. It provides a vast set of functionalities for manipulating and transforming structural data aka dataframes. In this blog post, we shall discuss 3 simple tricks for speeding up Pandas operations. 1. Stop using iterrows() : Data…

Python

4 min read

How to Speed up Pandas by 100x
How to Speed up Pandas by 100x
Python

4 min read


Aug 30, 2022

How to solve Markov Chains Using Python

Computing the steady-state behavior of a Markov chain using Python — Markov Chains Refresher: A Markov chain is a discrete-time discrete-valued random process that follows that Markov property. Mathematically, a Markov chain is denoted as Where for each time instant n, the process takes a value from a discrete set defined by

Data Science

4 min read

How to solve Markov Chains Using Python
How to solve Markov Chains Using Python
Data Science

4 min read


Jul 6, 2022

What are Markov Chains and Steady-State Probabilities

All about Markov chains and steady-state probabilities. — In addition to proving the central limit theorem, Andrey Andreyevich Markov played a pivotal role in developing Markov chains. Markov chains are used to model discrete-time, discrete space random processes with applications across multiple domains including Finance, Advertising, NLP, SEO, Physics, etc. …

Probability

6 min read

What are Markov Chains and Steady-State Probabilities
What are Markov Chains and Steady-State Probabilities
Probability

6 min read


Published in

DataDrivenInvestor

·Jun 11, 2022

News-based Investing: Should you do it?

Deciphering the impact of News, the “Intelligent Investor” way — If you like staying on top of your financial news feed, chances are you have stumbled on jazzed-up news articles that reveal “hot off the press” news related to some publicly-traded company. If you are an investor, chances are, you have, at some point, acted on the news by buying/shorting…

Trading

5 min read

News-based Investing: Should you do it?
News-based Investing: Should you do it?
Trading

5 min read


Feb 8, 2022

No Bullshit: Multi-label Text classification Using Keras

Discusses Implementation details with code — The goal of this blog is to dig right into the weeds of implementing a multilabel text classifier using Keras. If you have clicked on this story, I assume you are familiar with the problem formulation and how it differs from a traditional multiclass classifier. …

Python

2 min read

No Bullshit: Multi-label Text classification Using Keras
No Bullshit: Multi-label Text classification Using Keras
Python

2 min read


Published in

Geek Culture

·Jan 17, 2022

Multilabel Text Classification Using Keras

Gotchas to avoid while training a multilabel classifier. — In a traditional classification problem formulation, classes are mutually exclusive, i.e, each training example belongs only to one class. A binary classification problem involves classifying the dataset into two possible classes, eg: spam vs not spam, cat vs dog, churn prediction, etc. A multiclass classification problem involves classifying dataset into…

Deep Learning

5 min read

Multilabel Text Classification Using Keras
Multilabel Text Classification Using Keras
Deep Learning

5 min read


Jan 12, 2022

Tips and Tricks: Dask

Writing computationally efficient python code using Dask: A distributed framework for Analytics — Why Dask ? Over the last couple of months, I have been working relentlessly to productionize a computationally expensive algorithm. The algorithm ingests millions of rows with unstructured text data and trains a language model before proceeding to the inference stage. One of the bottlenecks in deploying the feature was its inability to…

Python

5 min read

Tips and Tricks: Dask
Tips and Tricks: Dask
Python

5 min read


Nov 19, 2021

5 Key Data Science Learnings from Zillow’s ‘iBuying’ Failures

Pitfalls and considerations to be made while working with DS/ML features — Once upon a Time: In December 2019, Zillow started a house flipping hustle - “Offers”, allowing sellers to directly sell houses to Zillow thereby eliminating the lengthy bidding and closing process. Zillow saw this as an opportunity to monetize and profit from the rich real-estate data at its disposal. The “Offers” program was powered…

Data Science

7 min read

5 Key Data Science Learnings from Zillow’s ‘iBuying’ Failures
5 Key Data Science Learnings from Zillow’s ‘iBuying’ Failures
Data Science

7 min read


Published in

Geek Culture

·Jun 13, 2021

Why is ReLU Activation preferred over Sigmoid Activation?

Diving Deeper into Deep Learning — ReLU vs Sigmoid Activation function. — Over the last few years, Deep Neural Network architectures have played a pivotal role in solving some of the most complex machine learning problems. Training a Deep neural network is not trivial and often involves billions of parameters trained over terabytes of data. Building a robust trainable network is an…

Deep Learning

5 min read

Why is ReLU preferred over Sigmoid Activation?
Why is ReLU preferred over Sigmoid Activation?
Deep Learning

5 min read

Pritish Jadhav

Pritish Jadhav

219 Followers

Data Science Engineer, Perpetua

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