Pinned Repositories
Binary-Classifcation-of-presence-of-water-bodies
coding-interview-university
A complete computer science study plan to become a software engineer.
Early-Sepsis-Classification-Analysis
Analysis and prediction of Sepsis in patients
FindASportPartner
web application to facilitate people in finding partners to play a sport. Partner search is based on individual preferences. (Favorite Sport, Location, Available Time Schedule, Sport Expertise level, Age, Sex, and etc.).
Hamming-Codes
The main objective is, detection of single bit error, burst error and to correct by using the suitable Methodology (by hamming distance concept). The purpose of this project is to visualize unreliable Transmission of data during the transmission from encoder to decoder. It involves block coding, finding the hamming distance between to existing code words, redundancy, error correction, parity check code.
LR-Predict-Energy-Output
The environment plays a vital role in the supply of energy throughout the world. The energy output in a power plant is highly dependent on the environmental changes that occur at the location. If the energy outputs are predicted accurately, then the energy suppliers can collaborate with other sources to minimize the cost and get efficient production of energy. In this project, we are fitting a Linear Regression formula, that can be used to predict the Energy Output at a Power Plant by comparing the relationship between various factors such as Ambient Temperature, Ambient Pressure, Vacuum, Relative Humidity. The analytics are performed on a dataset obtained from a Combined Cycle Power Plant (CCPP). The model build gives a very accurate prediction of Energy Output for any newly supplied dataset with the same or similar dataset. Finally, a graph will be plotted which shows the closeness of the predicted energy output with the actual energy output in the dataset.
Multichannel-EEG-based-Principal-Component-Sentiment-Disorder-Detection-model
Emotion or sentiment is a strong feeling derived from one's circumstances, mood, or relationships with others. It plays an important role in the interaction between humans. There are a number of techniques for the detection of human sentiments using channels such as voice and facial expressions. Many a times these channels can be faked with or without the knowledge of the person. Therefore, making use of a reliable system such as Electroencephalography to record physiological signals becomes vital. The data is collected from a publicly available platform, which is a multichannel (32 Channel) data taken from 14 subjects (7 males/7 females) acquired using the NeuroScan software. The subjects undergo an experiment which gives the EEG signals. The data necessary is derived from these signals. The project is divided into two stages. The first stage of the project is to infer all the necessary information from EEG signals, reduce them to our requirements and identify the sentiment of a subject. Two models are built in this stage. PC-RoDx (Principal Component-Reduction of Dimensions) uses Principal Component Analysis and DEAn (Detection of Emotions and its Analysis) uses Sentimental Analysis. The second stage of the project involves optimizing the models to reach at the best solution. Another model called HOPe (Highly Optimized Performance) is built. This uses High Performance Computing for arriving at the most accurate and optimal model for sentiment detection. The main objective of this project is to find the sentiment of the subject after applying the models PC-RoDx, DEAn and HOPe on the obtained data.
Scaling-MiniTwit-using-RestAPIs
Adding Web Service API to MiniTwit
Sign-Language-Predictor
Implement a web application that translates American Sign language and displays the prediction results as text to the user. The project also fulfills the task of real time data collection from the web camera, connected to the PC. The sign captured from it is sent through the trained model to predict the nature of the sign.
Time-series-forecasting-champagne-sales
AnushreeAnkola's Repositories
AnushreeAnkola/Early-Sepsis-Classification-Analysis
Analysis and prediction of Sepsis in patients
AnushreeAnkola/Hamming-Codes
The main objective is, detection of single bit error, burst error and to correct by using the suitable Methodology (by hamming distance concept). The purpose of this project is to visualize unreliable Transmission of data during the transmission from encoder to decoder. It involves block coding, finding the hamming distance between to existing code words, redundancy, error correction, parity check code.
AnushreeAnkola/Multichannel-EEG-based-Principal-Component-Sentiment-Disorder-Detection-model
Emotion or sentiment is a strong feeling derived from one's circumstances, mood, or relationships with others. It plays an important role in the interaction between humans. There are a number of techniques for the detection of human sentiments using channels such as voice and facial expressions. Many a times these channels can be faked with or without the knowledge of the person. Therefore, making use of a reliable system such as Electroencephalography to record physiological signals becomes vital. The data is collected from a publicly available platform, which is a multichannel (32 Channel) data taken from 14 subjects (7 males/7 females) acquired using the NeuroScan software. The subjects undergo an experiment which gives the EEG signals. The data necessary is derived from these signals. The project is divided into two stages. The first stage of the project is to infer all the necessary information from EEG signals, reduce them to our requirements and identify the sentiment of a subject. Two models are built in this stage. PC-RoDx (Principal Component-Reduction of Dimensions) uses Principal Component Analysis and DEAn (Detection of Emotions and its Analysis) uses Sentimental Analysis. The second stage of the project involves optimizing the models to reach at the best solution. Another model called HOPe (Highly Optimized Performance) is built. This uses High Performance Computing for arriving at the most accurate and optimal model for sentiment detection. The main objective of this project is to find the sentiment of the subject after applying the models PC-RoDx, DEAn and HOPe on the obtained data.
AnushreeAnkola/Binary-Classifcation-of-presence-of-water-bodies
AnushreeAnkola/FindASportPartner
web application to facilitate people in finding partners to play a sport. Partner search is based on individual preferences. (Favorite Sport, Location, Available Time Schedule, Sport Expertise level, Age, Sex, and etc.).
AnushreeAnkola/LR-Predict-Energy-Output
The environment plays a vital role in the supply of energy throughout the world. The energy output in a power plant is highly dependent on the environmental changes that occur at the location. If the energy outputs are predicted accurately, then the energy suppliers can collaborate with other sources to minimize the cost and get efficient production of energy. In this project, we are fitting a Linear Regression formula, that can be used to predict the Energy Output at a Power Plant by comparing the relationship between various factors such as Ambient Temperature, Ambient Pressure, Vacuum, Relative Humidity. The analytics are performed on a dataset obtained from a Combined Cycle Power Plant (CCPP). The model build gives a very accurate prediction of Energy Output for any newly supplied dataset with the same or similar dataset. Finally, a graph will be plotted which shows the closeness of the predicted energy output with the actual energy output in the dataset.
AnushreeAnkola/Scaling-MiniTwit-using-RestAPIs
Adding Web Service API to MiniTwit
AnushreeAnkola/Sign-Language-Predictor
Implement a web application that translates American Sign language and displays the prediction results as text to the user. The project also fulfills the task of real time data collection from the web camera, connected to the PC. The sign captured from it is sent through the trained model to predict the nature of the sign.
AnushreeAnkola/Time-series-forecasting-champagne-sales
AnushreeAnkola/coding-interview-university
A complete computer science study plan to become a software engineer.
AnushreeAnkola/CPSC585
Code and Assignments for Artificial Neural Networks Class @ CSUF
AnushreeAnkola/Data-Science-and-Machine-Learning
Process to understand Deep Learning using Tensorflow library
AnushreeAnkola/Leetcode-Problems
This repository showcases leetcode problems solutions with time and space complexities
AnushreeAnkola/Sales-Insights-AtliQ-Tableau
Interactive Dashboard to visualize Sales Insights at AtliQ Software
AnushreeAnkola/techBayLeetcodeProblems
Leetcode Problems solved in Python
AnushreeAnkola/wfdb-python
Native Python WFDB package