Sarthak Mohapatra's Projects
As 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 algorithm will be used to classify a GPU run process as high or low time consuming process.
As 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 project is to test and compare the predictive capabilities of different classification algorithms
As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.
Classifying Credit Card transactions as fraudulent or genuine using Classification techniques.
Stock Price Forecasting of Dow Jones 30 companies (DJIA) - (2000-01-01 to 2020-25-05)
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
End to End Database Solution for storing ~1.8 million records of Wildfires in USA using MySQL.
IBM Data Science Professional Certification - Final Capstone Project.
Classifying images as cats or not cats using 4 layered deep neural networks.
Image classification - classifying images as Cats or not cats - using Gradient Descent with a Neural Network mindset.
Market Basket Analysis using Apriori Algorithm on grocery data.
In this project, I have used Machine Learning (Linear Regression) for Prediction of fare and changes in airfare when a low cost airlines like Southwest Airline enters a new route in the US Aviation Market.
As 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 the recommendation Engine.
Back end for my portfolio
Tableau Official - Data Scientist Learning Path
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Classifying a tweet as positive, neutral, or negative sentiment using Natural Language Processing (CBOW approaches) and Traditional Machine Learning Algorithms.
Data Exploration, Visualization and Dashboard creation using Tableau.