179 skills found · Page 1 of 6
alex-hhh / ActivityLog2Analyze data from swim, bike and run activities
criticalmaps / Criticalmaps IosCritical Maps iOS App 🚲✊
toddwschneider / Nyc Citibike DataNYC Citi Bike system data and analysis
JunshengFu / Tracking With Unscented Kalman FilterObject (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.
cmdalbem / CiclomapaBeautiful, interactive & open bike maps of Brazilian cities. Powered by OpenStreetMap.
ropensci / Bikedata:bike: Extract data from public hire bicycle systems
jackgisby / Tfl Bikes Data PipelineProcessing TfL data for bike usage with Google Cloud Platform.
tomnz / KawaduinoThis is an Arduino project that uses an external IC to query the onboard ECU of a Kawasaki motorcycle. Various data can be read back from the bike, including RPM, speed, throttle position, and sensor data.
urbica / BikesBike share data visualisation
Hazrat-Ali9 / Bike Sharing Demand Forecasting Using Time Series Analysis⚽ Bike ⚾ Sharing 🥎 Demand 🏀Forecasting 🏐 Time 🎮 Series 🥌 Analysis is 🎳 a data ⛸ science ✈ focused on 🚁 predicting 🚀 bike 🛸 demand 🚟 time 🚠 series 🚞 techniques ⛴ analyzing 🚢 historical 🚒 bike 🛺 weather 🚋 data 🚂 seasonal 🚃 trends this 🚅 helps 🏩 optimize 🏦 planning 🕍 resource 🏠 allocation 🕌 and 🔐 operational 🪣 efficiency 💶
markdotai / EmtbA data field allowing Garmin watches to show information about a Shimano STEPS e-bike.
mattesCZ / MtbmapWeb map for mountain biking and hiking based on OpenStreetMap data.
ShivamBhirud / Capital Bike Share Data Streamlit Web ApplicationIt is a web app tutorial project made with streamlit, a ML web app tool. It has some super cool features that can eliminate the need of any web framework. So, a data scientist can focus entirely on the analytics part rather than worrying about managing frontend and backend with any sort of framework. Do check out this project!
royceschultz / Cycling Power CalculatorEstimate power output given GPS data of a bike ride.
augustinbegue / Gpx VisualizerTool allowing to visualize the live path represented by a gpx file on a map, with speed display
pgebert / Bike Sharing DatasetAnalysis and model development for the Kaggle Bike Sharing Dataset.
j33433 / MPowerTCXShare stationary bike data with Strava, Garmin Connect and Golden Cheetah
Devtown-India / HandsOn Data Analysis And MLOver the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.
maladeep / Cohort Retention Rate Analysis In PythonMedium Size Bikes & Cycling Accessories Organisation's Transactions Data Based Cohort Analysis¶
Tristramg / Velos ParisSynthèse des compteurs de vélos à Paris
