Before the ball tipped off on the 2026-27 NBA regular season, we published our full 30-team win projections and conference standings generated by our proprietary quantitative models. Unlike traditional power rankings driven by offseason headlines and superstar name recognition, our system evaluates how a team’s entire 10-man rotation (from starting backcourt efficiency and wing spacing […]
Usually, we project total team wins based on the first few weeks of the given NBA season. This year, we wanted to try something different by projecting the number of wins each team will have just based on what we know about them before the beginning of the season. Every NBA offseason brings a wave […]
We have designed and implemented a new machine learning model that projects the total number of wins for each team in a given season. We will update this each day. As of: Wednesday, August 13, 2025 Team Projected Wins (+/-4 Wins) Philadelphia Phillies 95 Milwaukee Brewers 92 Boston Red Sox 90 Los Angeles Dodgers 89 […]
Below, are the predicted NBA team wins for the 2024-2025 seasons (within a margin of error of +/- 5 wins) based on our novel ML algorithm to predict team wins. We collected over 20 years of NBA team data and applied advanced nonparametric, nonlinear models to uncover the relationship between various performance indicators and a […]
Using a lot of data wrangling and NLP, I created a movie and tv show recommender: Basically, the user selects from the drop-down list their movie/tv show of interest, and the algorithm will recommend a combination of movies and tv shows that the user is most likely to be interested in. I tried to include […]
Many textbooks when introducing ordinary least squares as a method to do regression (usually via introducing linear regression) don’t explain / derive the coefficients. Here, I explain how to do it using tensor/index notation.
By: Dr. Ikjyot Singh Kohli I wrote an extensive script in R that takes the most recent data available for the number of new/confirmed COVID-19 cases per day by location and computes the probability using statistical learning that a selected location will observe a new COVID-19 case (probability of observing a non-zero daily percentage return). […]
Abstract: It is shown that the standard/common definition of team offensive rating/offensive efficiency implies that a team’s offensive rating increases as its opponent’s offensive rebounds increase, which, in principle, should not be the case. Over the past number of years, the advanced metric known as Offensive Rating has become the standard way of measuring a basketball […]
As more and more teams are increasing the number of threes they attempt based on some misplaced logical fallacy that this somehow leads to an efficient offense, we show below that it is in fact in a team’s opponent’s interest for a team to attempt as many three point shots as possible. Looking at this […]
