rampanyam Goto Github PK

authorship-profiling-on-twitter-data

This project intends to predict the gender of an author from Twitter data ( Tweets) using Natural Language Processing Techniques and Classification Algorithms.

bushfire-analysis-using-meterological-data-from-kaggle-a-regression-task

A Regression task to predict the area burnt because of forest fires given the historical data. A wide range of tasks ranging from Data loading, Transformation, Exploration, Analysis, and Modelling were performed in R-Programming.

data-anz-virtual-internship

data-cleaning-on-restaurant-data-using-python

A data cleaning project intended to remove time discrepancies, text inconsistencies, in-accurate classification of variables, outlier removal, and value correction using predictive modelling.

eda-using-python-on-bank-churn-data

Exploratory Data Analysis using Python on Bank Churn Dataset from Kaggle.

predict-next-day-rain-in-australia-classification-problem

A Pyspark approach including , Data Cleaning, Curation, Feature Transformation, Selection, Data Modelling, and Model Selection on Rain Data from Kaggle.com

python-recap

rampanyam

Config files for my GitHub profile.

sql-problems-

A repository that contains the solutions to various SQL Coding Challenges available online.

victorian-road-safety-analysis-shiny-web-app

An R-Shiny web application for analyzing the injuries and fatalities in victoria due to road accidents intended to help researchers to design better road safety programs The objective of this project is to identify the key factors that cause accidents in Victoria. Alcohol Consumption, License Status, Light Condition, Speed Zone Comparision, Accident type analysis, Region Comparision, and Region Analysis were the integral components of this project.