akhileshravi
Machine Learning Engineer at Qualcomm CS and EE graduate from IIT Gandhinagar. Interested in Machine Learning, Computer Vision and Natural Language Processing
Bangalore, Karnataka, India
Pinned Repositories
100-days-of-code
KNearestNeighbours
This repository has a code (function) for K-Nearest Neighbours models. The model is tested on a dataset and compared with the slkearn KNN models. There is runtime analysis and accuracy analysis of the sklearn KNN models for classification and regression.
Lasso_Ridge_Regression_and_CoordinateDescent
This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.
MultiLayerPerceptron
This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).
SentEmojiDataset
SupportVectorMachine
This repository has a code for hard SVM. The code is run for the Iris dataset classification. The support vectors are obtained and the decision boundary is drawn. Ultimately, there is a lso a comparison with the sklearn svm framework.
Warehouse-Inventory-Check
Autonomous Drone to move in a warehouse and make a stock of the inventory be reading the bar codes and QR codes
Rushell
Rust based UNIX shell
SentEmojiBot
Empathetic Conversations using Emojis
akhileshravi's Repositories
akhileshravi/SentEmojiDataset
akhileshravi/Warehouse-Inventory-Check
Autonomous Drone to move in a warehouse and make a stock of the inventory be reading the bar codes and QR codes
akhileshravi/Lasso_Ridge_Regression_and_CoordinateDescent
This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.
akhileshravi/100-days-of-code
akhileshravi/KNearestNeighbours
This repository has a code (function) for K-Nearest Neighbours models. The model is tested on a dataset and compared with the slkearn KNN models. There is runtime analysis and accuracy analysis of the sklearn KNN models for classification and regression.
akhileshravi/MultiLayerPerceptron
This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).
akhileshravi/SupportVectorMachine
This repository has a code for hard SVM. The code is run for the Iris dataset classification. The support vectors are obtained and the decision boundary is drawn. Ultimately, there is a lso a comparison with the sklearn svm framework.
akhileshravi/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
akhileshravi/akhileshravi.github.io
akhileshravi/ConnectedComponentImage
akhileshravi/DecisionTree_RandomForest
akhileshravi/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
akhileshravi/FlyAboveWater
akhileshravi/Geryscale_to_Binary_Image_Conversion
This repository has codes for converting greyscale images to binary images using various methods in such a way that, to the human eye, they still look a lot like images having various intensity levels.
akhileshravi/Gravity-Guy
akhileshravi/Image_Filter
akhileshravi/KalmanFilterDemo
akhileshravi/KalmanFilterSIne
akhileshravi/LinearRegression
akhileshravi/MorpologicalImageProcessingFunctions
This has the Matlab codes for a basic list of morphological functions
akhileshravi/NaiveBayesModel
This repository has code (function) for Naive Bayes Classifier model which is based on probability. The model is evaluated on a dataset. It has then been used for active learning. Finally, there is a comparison between active learning and adding new samples to the train set from the pool set randomly.
akhileshravi/NLP_Assignments
akhileshravi/OpenCV-Workshop
The aim of this repository is to assist in a introductory workshop for OpenCV in Python
akhileshravi/ShellCodeDebugTrackingSoftware
akhileshravi/SuperBot
akhileshravi/TypeMaster