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Name: Gaurav Bhojwani
Type: User
Twitter: _gaurav_07
Name: Gaurav Bhojwani
Type: User
Twitter: _gaurav_07
The aim of this project is to print steps for every split in the decision tree from scratch and implementing the actual tree using sklearn. Iris dataset has been used, the continuous data is changed to labelled data. In this code gain ratio is used as the deciding feature to split upon
I have focused my code to identify human movements in a video, though any movement can be detected in any video by just adjusting some parameters.
detects all eyes within an image
detects faces in an image
The aim of this project is to implement k-mediods algorithm of unsupervised learning from scratch. 3 random numpy arrays(2-D) have been taken into consideration for this project. This code can be used to partition any given dataset into 'n' clusters where n can be any real number of user's choice.
The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The βtargetβ for this database is an integer from 0 to 39 indicating the identity of the person pictured. Each of the sample images needs to be classified in the classes ranging from 0 to 39. PCA has been applied to reduce the dimensionality. Then various classification and regression techniques are used with and without using PCA and the accuracy and time taken by the algorithms are recorded. Algorithms used: SVM, KNN, logistic regression, neural networks, linear regression and random forests.
The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive
Main aim of this code is to detect vehicles on road.
Gaurav Bhojwani
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.