-
The University of Texas at Dallas
- Chicago, IL
- https://www.linkedin.com/in/sarthakmohapatra1990/
Pinned Loading
-
US-Airlines-Tweets-Sentiment-Analysis
US-Airlines-Tweets-Sentiment-Analysis PublicClassifying a tweet as positive, neutral, or negative sentiment using Natural Language Processing (CBOW approaches) and Traditional Machine Learning Algorithms.
Jupyter Notebook 1
-
Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.
Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type. PublicAs part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algori…
R 2
-
Image-Classification-using-Gradient-Descent-with-a-Neural-Network-mindset.
Image-Classification-using-Gradient-Descent-with-a-Neural-Network-mindset. PublicImage classification - classifying images as Cats or not cats - using Gradient Descent with a Neural Network mindset.
Python 1
-
Market-Basket-Analysis-using-Apriori-Algorithm-on-grocery-data
Market-Basket-Analysis-using-Apriori-Algorithm-on-grocery-data PublicMarket Basket Analysis using Apriori Algorithm on grocery data.
-
Recommendation-Engine--Similar-apps-on-Google-Play-Store
Recommendation-Engine--Similar-apps-on-Google-Play-Store PublicAs part of this project, I have built a Recommendation Engine for suggesting similar apps from Google Play store to an Andriod user. I have used content based recommendation system for developing t…
Jupyter Notebook 4
-
Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms.
Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms. PublicAs part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this projec…
Jupyter Notebook 2
If the problem persists, check the GitHub status page or contact support.