siddh30's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
librosa/librosa
Python library for audio and music analysis
the-deep-learners/deep-learning-illustrated
Deep Learning Illustrated (2020)
aprilypchen/depy2016
ruchawaghulde/Facial-Keypoints-Detection
EE-628-A Deep Learning: Final Project using PyTorch
siddh30/The-Airbnb-Classification-Project
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
siddh30/Amazon-Sentiment-Analysis
A Natural Language Processing based project - Sentiment Analysis of Amazon Product Reviews in Python
siddh30/Facial-Keypoints-Detection
A Deep Learning project to detect and predict Facial Key-Points. We built this project as means to fight Deep Fake. A very prevalent threat to cybersecurity.
siddh30/2020-Summer-Honors-Research
Summer Research on Approaches to Industrial Recommender Systems implemented by organizations such as YouTube, Spotify and Netflix along with ways of implementing Deep Learning and Neural Networks in generating relevant and meaningful recommendations for users.
siddh30/Histopathologic-Cancer-Detection
A Deep Learning project to classify whether a tumor in tissues is 'Malignant' or 'Benign'. This project aims at incorporating AI in detecting cancer at premature stages helping doctors save more lives.
devangi28/DataScientist_vs_SDE_Role_Prediction
Predicted software engineering and data scientist jobs from the job descriptions on a job portal. For the same, scrapped the full job description, collected, and preprocessed the data. Applied KNN, Decision Tree, and Logistic regression models to classify jobs. Achieved the highest accuracy of 95% with Logistic Regression.
devangi28/Severity-of-Accidents-in-France-2005-2016
Every year, road accidents cause thousands of deaths. That's why I decided to make this contribution. Risk varies widely from customer to customer, and a deep understanding of different risk factors helps predict the likelihood and cost of insurance claims. Many factors contribute to the frequency and severity of accidents including how, where and under what conditions people drive, as well as what they are driving. Insurance covers people’s bodily injury or death for which the insured is responsible. GOAL: This project predicts the severity of injury based on various characteristics, users, places and vehicles.
ruchawaghulde/Capturing-Images-through-Hand-Gestures
Image capturing through gesture recognition
ruchawaghulde/Wine-Quality-Prediction
Predict the quality of wine using Optimization techniques
siddh30/Digit_Recognizer-Kaggle-Top_15
Hit top 15% in an unranked Kaggle competition with a score of 0.9946
siddh30/Twitter-Sentiment-Analysis
Twitter Sentiment Analysis