sadam-99/NLP-Machine-Translator.

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Created almost 5 years ago
Updated almost 5 years ago

sadam-99/NLP-Machine-Translator.

sadam-99

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Translation of Language "English" to "French"

Obstructive-Sleep-Apnea-Detector

Detection of Obstructive Sleep Apnea using Heart Rate Variability in ECG Signals using the Time Domain and Frequency Domain methods and Classification is done using SVM(Support Vector Machines) and K-Means Clustering.

X-RAY-IMAGES-BONES-SEGMENTATION-AND-FRACTURE-LOCATOR

Segmentation of different types of bones using Thresholding and morphological operations and detected (located) fracture using Hough Transform in MATLAB. Tried with Deep Learning (ML) algorithms for better accuracy.

Facial-Emotion-Recogintion

Support Vector Machine (SVM) based emotion recognition in static images, videos and in Real Time as well in Python with an accuracy of around 93.7%.

Uber-Database-Design-System

Designed the Uber database System. Created some Triggers and stored procedures as well.

Moving-Objects-Detector

Optical Flow-Based moving Object Detection and Tracking using MATLAB which is based on the Lucas Kanade method and also modified in the manner to reduce the effect of noise and increase the precision

Scene-Recognition-with-Convolutional-Neural-Network

Scene Recognition with Convolutional Neural Network from scratch using only numpy.

Mutual-Friends-Info-Evaluator-for-Facebook-Big-Data

Evaluating the information among the Mutual Friends on Facebook (Big Data)

Jupyter Notebook

Neural-Networks

Trained Neural Network using different types of Activation functions like Sigmoid, ReLu, Tanh and compared their errors.

BiGrams-Model-NLP

Developed and trained BiGrams Model.

Decision-Trees

Implemented the Decision trees from Scratch and developed many Pruning Strategies(My OWN strategy).

Olympics-Search-Engine

Search Engine for Olympics

Twitter-Sentiment-Analyzer--Kafka-Streaming

Twitter Sentiment Analyzer - Kafka Streaming

Jupyter Notebook

Relationship-Extractor-NLP

Relationship Extractor betwwen the Entities.

Jupyter Notebook

Operating-System

It reads N number of files(any type) from command line arguments and writes the count of every character using the fork(). The Parent executes when All the child processes terminates.