PinnedMember-onlyCatalogue of my Data Science articlesCondensed list of all my posts on Data Science related topics — If you liked one of my posts and would like to check out more, or simply want to browse through my articles, this catalogue may be helpful for you. Here, you will find a list of all my posts in a condensed form. Hopefully, this will save you time finding…Data Science4 min readData Science4 min read
Published in Towards Data Science·Feb 1Member-onlySimple tool to foster connection among employeesBuilding a happy and connected team with the help of Python — One positive thing COVID-19 facilitated was to push more companies adopt flexible working arrangements. This adoption meant more of us can continue working from home even when lockdowns are over. While this flexibility is awesome in so many ways, one potential downside is that you can’t bump into people like…Data Science6 min readData Science6 min read
Published in Towards Data Science·Jan 12Member-onlySimple ways to create synthetic dataset in PythonA beginner’s guide to create mock tabular data — When developing a code, sometimes we need a dummy dataset. For instance, we want to share code and the underlying data but real-life dataset is confidential so not suitable for sharing. One option is to find and use a suitable toy dataset or publicly available datasets. Another option is to…Synthetic Data7 min readSynthetic Data7 min read
Published in Towards Data Science·Dec 16, 2022Member-onlyIntroduction to Word2Vec (Skip-gram)A brief introduction to word embeddings in Python — When working with text data, we need to transform text into numbers. There are different ways to represent text in numerical data. Bag of words (a.k.a. BOW) is a popular and simple approach to represent text in numbers. However, there is no notion of word similarity in bag of words…Data Science11 min readData Science11 min read
Published in Towards Data Science·Nov 3, 2022Member-onlyStatistical Significance Testing of Two Independent Sample Means with SciPyBeginner’s guide to hypothesis testing in Python — AB tests or randomised experiments are the gold standard method used to understand the causal impact of a treatment of interest on the outcome considered. Being able to evaluate AB test results and draw an inference about the treatment is a useful skill for any data enthusiasts. …Python8 min readPython8 min read
Published in Towards Data Science·Oct 3, 2022Member-onlyIntroduction to Image Classification with TensorFlow — Part 2A beginner’s practical guide to Computer Vision in Python — In the first part of the series, we built basic image classification models on MNIST dataset containing black and white images of handwritten digits. The data was readily available through TensorFlow. However, in practice, real life images are colourful and data is often not easily available like that. In this…Data Science10 min readData Science10 min read
Published in Towards Data Science·Sep 7, 2022Member-onlyIntroduction to Image Classification with TensorFlow — Part 1A beginner’s practical guide to Computer Vision in Python — Computer Vision is an area of Artificial Intelligence that enables machines to process visual data such as images and video into meaningful information. Image classification is one popular application of computer vision. …Data Science12 min readData Science12 min read
Published in Towards Data Science·Aug 1, 2022Member-onlyPrediction intervals in PythonLearn three ways to obtain prediction intervals — If I ask you to guess how many movies I watched in the past week, would you feel more confident to guess “2 to 6” or “3”? We would probably agree that guessing with a range gives us a better chance of being correct than guessing with a single number…Data Science8 min readData Science8 min read
Published in Towards Data Science·Jul 4, 2022Member-onlyPartial dependence plots with Scikit-learnTowards explainable AI — Partial dependence plots (PDP) is a useful tool for gaining insights into the relationship between features and predictions. It helps us understand how different values of a particular feature impact model’s predictions. In this post, we will learn the very basics of PDPs and familiarise with a few useful ways…Scikit Learn8 min readScikit Learn8 min read
Published in Towards Data Science·Jun 9, 2022Member-onlyMeet HistGradientBoostingClassifierA more flexible and scalable GradientBoostingClassifier — Scikit-learn’s GradientBoostingClassifier (GBM from here onwards) is one of the most popular ensemble algorithms that performs well on many datasets. HistGradientBoostingClassifier (HGBM from here onwards), a histogram-based alternative implementation of GBM, was introduced in v0.21.0 as an experimental estimator. As of v1.0.0, this estimator has become a stable estimator. …Python5 min readPython5 min read
