suwarna baraskar's Projects
🧾**Description:** This dataset is a collection of datasets from different sources related to the automatic detection of cyber-bullying. The data is from different social media platforms like Kaggle, Twitter, Wikipedia Talk pages, and YouTube. The data contains text and are labeled as bullying or not. The data contains different types of cyber-bullying like hate speech, aggression, insults, and toxicity. You have been provided with the twitter\_parsed tweets dataset, wherein you have to classify whether the tweet is toxic or not. 🧭 **Problem Statement:** You are provided with **twitter\_parsed\_tweets**: you have to perform a step-by-step NLP approach to identify the toxicity of the tweet, and classify the tweet in a binary value. The target variable is **oh-label** and the evaluation metric is **F1-score**.
particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar‐terrestrial research community.
The Higgs boson is the fundamental particle associated with the Higgs field, a field that gives mass to other fundamental particles such as electrons and quarks. A particle’s mass determines how much it resists changing its speed or position when it encounters a force. Not all fundamental particles have mass. The photon, which is the particle of light and carries the electromagnetic force, has no mass at all.
Project-4- The Boston Housing Dataset “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
I'm excited to share my first Power BI report, which focuses on revenue analysis for AtliQ Grands, a leading player in the hospitality industry.
Novel Coronavirus 2019 time series data on cases
Project - 2 - German Credit Card “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
Club Mahindra in association with Analytics Vidhya organised the DataOlympics . The task is to use information that was available to construct a machine learning model that predicts the spending in response to the offer. Predict average spend on Food & Beverages by a Club Mahindra member. The model will be evaluated on the MSE/RMSE of your predictions on a test set.
Developed lightweight MobileNetV2 face mask detection model for identifying a person wearing a mask or not .
This is a classic Text Generation problem, using scriptures of famous books, Game of Thrones in this case.
Capstone Project 1- Kaggle Competition Project. “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
Capstone Project 2- Recommendation Syatem “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
Project - 3- KYPHOSIS-DISEASE-CLASSIFICATION “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
Selenium Assignment
Project - 1- Multiple linear regression problem using House Price Data. “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
Developing patient survival prediction model is important in clinical research. As different levels of data may all contribute to patients’ survival, the prediction model using multiple omics data could achieve better performance.
Capstone Project 2 - Kaggle Competition “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.
GRIP@ The Sparks Foundation (Data Science & Business Analytics Internship) Prediction using Supervised Machine Learning.This is a simple linear regression problem.
GRIP @ The Sparks Foundation (Data Science & Business Analytics Internship)¶ .For the given IRIS dataset created the Decision Tree classifier and visualize it graphically