suryaramakris

Banking-Dataset---Marketing-Targets

Basic Model building and EDA

Clustering-using-spark

The problem statement was to cluster the data based on the attack history of the technology firm to know whether 2 or 3 hackers were involved in the attack or not. The solution to the problem was if we could make k clustering and resolve the issue.

CyberBulling

With rise of social media coupled with the Covid-19 pandemic, cyberbullying has reached all time highs. We can combat this by creating models to automatically flag potentially harmful tweets as well as break down the patterns of hatred.

FB_link_prediction

Given a directed social graph, have to predict missing links to recommend users

Spark-Basic-Learnings

My learnings of Spark to deal with bigdata. How to operate on rdd(resilient distributed dataset) and Dataframes. One of the lazy evaluation method based on DAG(Direct acyclic graph), transformations and actions.

jenkins-ngrok

Multilabel_tagPredictor

Suggest the tags based on the content that was there in the articles. So as to benefit and suggest readers based on the gener they like to read.

QuoraQuestionPairSimilarity

The goal of this competition is to predict which of the provided pairs of questions contain two questions with the same meaning.

Sales-Prediction

Predicting the sales of products across stores of a retail chain. These stores stock products across various categories such as FMCG, eatables and others. Task is to predict the sales for next one month

Selenium-restaurant-data-scraping

In this i got to learn about webscraping and performed web scraping on zomato website using selenium.

suryaramakris/Fraud-Prediction

To predict the fraud in auto insurance claims based on the demographic, policy, claim, and vehilce related features provided in the datasets and also generate the top 20 patterns for fraud on target attribute.

suryaramakris/Hotel-webapp

suryaramakris/tensorflow-keras-practice

Basic of Tensorflow, staring with what a tensor is?...to...how to build deep neural networks using tensorflow.

suryaramakris/Selenium-restaurant-data-scraping

In this i got to learn about webscraping and performed web scraping on zomato website using selenium.

suryaramakris/Multilabel_tagPredictor

Suggest the tags based on the content that was there in the articles. So as to benefit and suggest readers based on the gener they like to read.

suryaramakris/FB_link_prediction

Given a directed social graph, have to predict missing links to recommend users

suryaramakris/CyberBulling

With rise of social media coupled with the Covid-19 pandemic, cyberbullying has reached all time highs. We can combat this by creating models to automatically flag potentially harmful tweets as well as break down the patterns of hatred.

suryaramakris/QuoraQuestionPairSimilarity

The goal of this competition is to predict which of the provided pairs of questions contain two questions with the same meaning.

suryaramakris/jenkins-ngrok

suryaramakris/getting-started-Jenkins-

suryaramakris/Clustering-using-spark

The problem statement was to cluster the data based on the attack history of the technology firm to know whether 2 or 3 hackers were involved in the attack or not. The solution to the problem was if we could make k clustering and resolve the issue.

suryaramakris/Spark-Basic-Learnings

My learnings of Spark to deal with bigdata. How to operate on rdd(resilient distributed dataset) and Dataframes. One of the lazy evaluation method based on DAG(Direct acyclic graph), transformations and actions.

suryaramakris/Sales-Prediction

Predicting the sales of products across stores of a retail chain. These stores stock products across various categories such as FMCG, eatables and others. Task is to predict the sales for next one month

suryaramakris/Banking-Dataset---Marketing-Targets

Basic Model building and EDA