Tag: Towards Data Science
10 Simple hacks to speed up your Data Analysis in Python
Recommendation Systems in the Real world
An overview of the process of designing and building a recommendation system pipeline. Photo by Pixabay from Pexels Too few choices are bad but too many choices can lead to paralysis Have you heard about the famous Jam Experiment? In 2000, psychologists Sheena Iyengar and Mark Lepper from Columbia and Stanford University presented a study based … Continue reading Recommendation Systems in the Real world
Using What-If Tool to investigate Machine Learning models.
An open source tool from Google to easily analyze ML models without the need to code. Photo by Pixabay from Pexels Good practitioners act as Detectives, probing to understand their model better¹ In this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training the model and obtaining predictions from it. To be … Continue reading Using What-If Tool to investigate Machine Learning models.
Animations with Matplotlib
Using the matplotlib library to create some interesting animations. Rain Simulation with Matplotlib Animations are an interesting way of demonstrating a phenomenon. We as humans are always enthralled by animated and interactive charts rather than the static ones. Animations make even more sense when depicting time-series data like stock prices over the years, climate change … Continue reading Animations with Matplotlib
Top Competitive Data Science Platforms other than Kaggle
Photo by George Becker from Pexels The best way of learning anything is by doing. What do you do after you have completed hundreds of MOOCs, consumed thousands of books and notes and listened to a million people rant about their experience in Data Science? You start applying the concepts. The only way to apply machine learning … Continue reading Top Competitive Data Science Platforms other than Kaggle
Breaking the Jargons 