akshatsinghal92 Goto Github PK
Name: Akshat Singhal
Type: User
Bio: I am Akshat Singhal, a sophomore undergraduate at IIT Guwahati. I am a Data Science enthusiast and proficient at Python Programming.
Akshat Singhal's Projects
aws-video-translation-and-subtitle-generation-
Used AWS services like Amazon Transcribe, Amazon Translate and Amazon Polly to generate multi language subtitles and multi language audio for a given input video and embed into a single output video.
battle-of-neighbourhoods
Predicted the best neighbourhood in entire Toronto for the purpose of opening up a new restaurant.
credit-risk-estimation
Predicted whether a client should be approved for a loan based on their credentials, income, and previous credit history about them.
dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
disaster-tweets-classification
Developed a framework to segregate fake disaster tweets by modelling LSTM networks and BERT
goal-prediction
Predicted whether Cristiano Ronaldo will score a goal or not based on the data describing the shot he made.
nlp-specialization
NLP Specialization (Natural Language Processing) made by deeplearning.ai
product-recommendation-analysis
Predicting product recommendation score using the data available on the website of the client
psi_aug
PSI_AUG
publicis-sapient-pod-2
A cancer tumor can have thousands of genetic mutations. Currently this interpretation of genetic mutations is being done manually. This is a very time-consuming task where a clinical pathologist has to manually review and classify every single genetic mutation based on evidence from text-based clinical literature.
tensorflowbasics
Code for the TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | Edureka (https://www.youtube.com/watch?v=yX8KuPZCAMo) with small corrections and additions of missing parts by Claude COULOMBE - PhD candidate TÉLUQ / UQAM - Montréal
text-processing-nlp
This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.
titanic-analysis
Predicted how many people survived in the Titanic incident.
virtual-assistant
Implemented a simple Chat-bot using SEQ2SEQ Deep NLP model.
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