Introduction In this post, we will learn some best practices to improve our code quality and reliability for the production Data Science code. Note: Most… Read More »Engineering best practices for Data Science projects
So you have written your best machine learning code, and have now tuned the model for the best accuracy. Now what? How would you deploy… Read More »Strategies for Productionizing our Machine Learning Models
Kaggle is a platform to explore our knowledge on Data Science, to learn new techniques or modelling from the experts. Kaggle competitions are the best way to… Read More »My secret recipe for Kaggle competition for top 8% on leaderboard
I attended the Sydney MeasureCamp conference today (20th october 2018). This conference took place in Google Sydney office. It was a great experience and here… Read More »Takeaways from Sydney MeasureCamp – Unconference for Analytics and DataScience
This small post provides information on cleaning data by dealing with missing data present in a dataframe. Data cleaning is the process of ensuring that… Read More »Cleaning data for data visualisation