Streaming Media and Development project. Multiple people.

A storage metrics collector from IBM SVC equipments whose inject them into a InfluxDB database

car detection and tracking

用sklearn的linearSVC和SVC做简单数据的预测对比

Vehicle Detection (Udacity CarND term1 project 5)

Gender Classification based on height, weight and shoe size using different Machine Learning Algorithms

The fraud identification models were build using Python Scikit-learn machine-learning module.

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.

Predict whether an individual is a person of interest based on their enron email.

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Helps to work with projects repositories and SVC operations.

SVC model predictions on cancer dataset of sklearn and also used GridSearchCV to find the best parameters for the SVC model

Implementation of the Gaussian RBF Kernel in Support Vector Machine model.

In this project, we implemented an activity monitoring system for the classification of user activities such as Walking, Sitting, Standing, and Laying down which were captured using a smartwatch provided to us in the course. Various phases were involved in the fulfilment of this project ranging from data collection, data preprocessing, feature e…

Self Driving Car ND Project 5 - Vehicle Detection

Python code using supervised learning to prioritize shelter animals by their probability of getting adopted to maximize the rate of adoption.