Leaders in most higher-education institutions generally understand that using advanced analytics can significantly transform the way they work by enabling new ways to engage current and prospective students, increase student enrollment, improve student retention and completion rates, and even boost faculty productivity and research. .
New blog post out: The Quiske Cloud = Data for Rowers. Read more in our blog... Quiske includes a cloud service for your rowing data: drill into your data in detail. You need a cloud subscription to upload and analyze sessions recorded with the Quiske Rowing App. Record your rowing with the Quiske App, upload your workouts and go analyze in the portal. The summary overview includes distance, time, number of strokes, pace boat type etc. Then drill into boat acceleration over any section of the workout, check your seat technique, the angular speed of your oar or the entire flight path of the oar during drive and recovery.
The Quiske Cloud can help data-savvy coaches synchronize crew technique. The data from rowers in your crew can be overlaid and compared. The portal was designed specifically to allow coaches to compare technique within their crew, but the tool is new and we are keen to hear feedback and suggestions on how to make the tool easier and more intuitive to use.
The data in the Quiske cloud can also be exported so that you can further process it by self-service as you want! If you’re a coach into data analytics this might interest you !😉
The Quiske algorithms provide the rowing data neatly organized into individual strokes. This readily analyzed data can be exported by email.
Get in touch if you’d like a trial of the Quiske cloud service and check out our blog please.
"According to some experts, remote monitoring gives us a glimpse of what healthcare will look like in forthcoming years and decades." How Wearable Tech Can Improve Patient Outcomes - https://bit.ly/2Gj1oZX
Want to Predict the fantasy team before every match? Want to predict the outcome of a match?
Tune in to YouTube Premier for IPL 2019 Predictor Application from MATLAB Helper at 6:30pm IST, 26th
Visit https://mlhp.link/Venkat_YT & Join Event at https://mlhp.link/Venkat_FB #MATLAB#DataAnalytics#Statistics#MATLAB Helper #IPL2019#GameBanayegaName
Machine Learning applications across the industries.
9 22619 October, 2018
Reddit user dadapp94 overlaid the Paris metro lines onto this aerial photograph and it really brings the scale of the metro system to life. The metro in Paris is wonderful, except the tickets are little one-time-use paper things that get easily lost...
11 51922 October, 2018
[39/100] #DaysOfCode Challenge: That’s it, around four months of coding and learning machine learning, statistics and python have come to a first milestone (not an end, I am right in the coding hype right now). I finished my first predictive analytics project on Kaggle. I wrote a model that is capable of predicting a flight delay based on its input values like the departure delay, the airline delay, weather and many other features.
During that period I had a mindset change due to a friend’s book recommendation. I read this one book about the miracle morning and the early morning hustle where you spent two or three hours every morning just for your self-improvement. That was the time where I started waking up at 4 o’clock every day to do something for myself. Whether it was doing sport, learning to code or reading a book about financial advice, nutrition, meditation, or machine learning algorithms. These extra hours made me felt pumped and pushed me every day since then.
Then I started coding this Kaggle notebook. I wanted to write a full data science analysis about a specific topic where I needed to predict something. I coded every morning, day by day and here it is, my first predictive analytics project on Kaggle. You can take a look into without need to be login. It's like a blog article where everything is printed, even the lines of code and all data visualization.
You can find the link in my bio -> Linktree “First Datascience Project”.