If you like to dabble in stocks (like me), you are likely conscious about events of high volatility in the market which could lead to “Creating a dashboard using Python to track critical financial and economic indicators”
Everyone is a Data Scientist (qualitatively), and real life examples to prove it
Let me explain. I was reading this book about ‘Big Data’ and the internet, that I casually picked up from a convenient store at the “Everyone is a Data Scientist (qualitatively), and real life examples to prove it”
Picking the right movie to watch: Part II (using the simplest decision tree model)
Following up from the my previous attempt to model how best to pick a movie, this new iteration takes a very different approach. In the “Picking the right movie to watch: Part II (using the simplest decision tree model)”
My journey to Google Colab through various cloud platforms
Google Colab is one of the best and most convenient ways to run Jupyter Notebooks. However, it took me a while to stumble upon this “My journey to Google Colab through various cloud platforms”
Identifying keywords, topics and summaries using text data from Stack Exchange sites
This is the first time I am covering topic modeling which is one of the cornerstones of Natural Language Processing (NLP). This useful technique is “Identifying keywords, topics and summaries using text data from Stack Exchange sites”
Analyzing collision events in Seattle and predicting severe occurrences
Why do we care about severe collisions? The safety of drivers, passengers, pedestrians and property is an ever-growing concern when it comes to the operation “Analyzing collision events in Seattle and predicting severe occurrences”
Does Harvard really have an admissions problem when it comes to Asian students? The numbers suggest not
Background Harvard came under heavy scrutiny last year when an activist group known as Students for Fair Admissions filed a lawsuit against the Ivy League “Does Harvard really have an admissions problem when it comes to Asian students? The numbers suggest not”
Making food recommendations by analyzing cuisines and ingredients
Food is one of the few universal things that connect people along with music, movies and sports. It is the most fundamental building block of “Making food recommendations by analyzing cuisines and ingredients”
Picking the right movie to watch: Part I (using linear regression)
As a movie fanatic, it’s really important for me to pick something decent to watch. Over the years, mainly during my time in college, I “Picking the right movie to watch: Part I (using linear regression)”
Determining an ideal location for opening a retail store in Atlanta
Finding the right location for a retail store is crucial to the long-term growth and sustainability of the business. In a world where physical clothing “Determining an ideal location for opening a retail store in Atlanta”