LATEST PROJECTS
Project | 01
Project 1 | Project | Predicting the weekly sales for Walmart
Tried 6 regression algorithms with a total of 51 experiments- Linear regression, KNN Regressor, Ridge, Lasso, Bagging, Boosting to predict the weekly sales for Walmart.
Attained an average of 96% R^2 value with 5-Kfold validation, confirming no overfitting of the data.
Read more:
https://github.com/gsid31/Walmart-Weekly-sales-prediction
Project | 02
Project 2 | Project | Power Consumption of a house; Counter Strike game win prediction using SVM model, Decision tree and Boosting algorithms
Read more : https://github.com/gsid31/DecisionTree_Boosting_SVM
Project | 03
Project 3 | Project | Data visualization project to represent terrorist attacks in this world from the year 1970 - 2017. 48 years of terrorist attacks presented in 41 seconds of video.
Read more : https://www.linkedin.com/posts/siddharth-govindarajan_tableau-dataviz-visualization-activity-6584252593135030272-zpCS
Project | 04
Project 4 | Project | Health insurance premium model
Read more : https://github.com/gsid31/Finding-who-require-premium-Health-Insurance-using-decision-tree
Project | 05
Project 5 | Project | Predict power consumption of house using Linear/Logistic regression - Gradient descent
Read more : https://github.com/gsid31/Linear_Logistic_Regression
Project | 06
Project 6 | Project | Day-wise Geographic view of rainfall intensity and wind direction in Australia for 11 years (2007 - 2017) using Shiny R
Read more : https://siddharthg.shinyapps.io/Australia_Wind_Rainfall/
Project | 07
Project 7 | Project | R Shiny visualized - Vehicle Accidents in Los Angeles
Visualization of vehicle accidents in Los Angeles using Shiny R so that 50,000+ of them can be avoided each year
Read more : https://siddharthg.shinyapps.io/Accidents_Los_Angeles/
Project | 08
Project 8 | Project | Deriving insights from flight Cancellation and delayed flights pattern
Project | 09
Project 9 | Project | Predicting diabetes in women
Read more: https://github.com/gsid31/PIMA-Indian-Women-Diabetes-prediction-using-decision-tree-and-logistic-regression
Project | 10
Project 10 | Project | Automation Digital Census Processing System
Developed a web project on making the manual census processing used in India to completely digital.
View the processed data and take national level decisions
Read more : https://github.com/gsid31/IndiaDigitalCensusProject
Project | 11
Project 11 | Project | Power-consumption-and-counter-strike-game-winning-prediction-using-Kmeans-Expectation-Maximization
Read more:
Project | 12
Project 12 | Project | Do guns bring down crimes?
An econometrics project using linear regression on 100,000+ rows experimented with 15 models to prescribe that legalizing gun license brings down crimes
Project | 13
Project 13 | Project | Data/Text mining – Sentiment analysis
R shiny Sentiment analysis of Billboard Year-End Hot 100 songs between 1965 and 2015 to study the trend over the decades and understand people’s word preference which can be used in digital marketing
Project | 14
Project 14 | Project | Risk Factor of Truck drivers using HIVE, Hadoop, Tableau
ETL – loaded 8k truck data into HDFS Hive and Impala, visualized the results in Tableau dashboard to filter 7 risky drivers
Read more:
https://github.com/gsid31/Risk-Factor-of-Truck-drivers-using-HIVE-Hadoop-Tableau-
Project | 15
Project 15 | Project | Adobe analytics challenge – Nike data analysis
Recognized 5 revenue improvement suggestions for Nike with 3 KPIs and 7 metrics to improve the overall (adobe analytics)
Project | 16
Project 16 | Predict power consumption and counter strike game winning prediction using Neural networks and KNN
Read more : https://github.com/gsid31/Neural_net_KMeans