Name: Rajat Shrivastav
Type: User
Bio: Enthusiast Engineering graduate willing to contribute being one of a kind, seeking to use strong statistical knowledge, analytic ability and communication skill
Location: Mumbai,Maharashtra,India
Rajat Shrivastav's Projects
This is the full repo of the Automatic Traffic Controller PyQt5 App
This is the github folder for the end to end deployment of a basic Dogs and Cats Classifier. This was the very first deployment version. More customization will be appended.
TCS Codevita
This is a corporate resume template
This contains all the datasets required for Assignment Solving......
This repository contains the code for Dean's Dilemma's data , we can work more on this Dataset
This repository gives explanation as to how to tune a simple decision tree, how did we prune it using the Hyper parameters, secondly we studied the difference between GridsearchCV and Randomsearchcv
This repo contains all the python wrappers for OCR, one such wrapper is Easy OCR. Please find the Linksof Github work attached.
A small demo which shows how Microsoft's Hummingbird can scale ML Model Inferences using GPU's
This repo contains the final code of Janata Hackathon for Machine Learning IOT problem.
JanataHack Mobility analytics
This repo gives full solution forthe AV JanataHack Machine Learning Hackathon
This is a repository for Java Programs.
This Repository contains different assignments from Jigsaw Academy
This Repo consists of all the codes and docs files necessary for completing all the tasks in hand for the Virtual Internship
This is the Repo where I have hosted 4 projects based on open Source Hugging Face models with a streamlit UI. You can find individual requirements file for each of these projects.
This repo contains th code for Glass Quality prediction hackathon which was submitted to MachineHack
This repository consists of a base model in Xgboost and Catboost using Autoviml and the final model with Feature Engineering
This repo gives the complete code solution on the Machine Hack Energy output predictions. I have got an RMSE of 3.03 on the final model while the Winner of this hackathon got only 3.22, so good work on this.
This Repo consists of all the dataset and final solution for the Financial Risk prediction Problem.
This repo gives the full approach and code for Machinehack Forest Cover type Classification. Here LGBM model gave a final log loss score of 0.33, Which I would like to improve to around 0.1. I also added weights to the predictions and 5 fold cross validation. I used Bayesian Optimization to get optimized parameters.
This repo gives complete code for the Melanoma tumor size predictions. I could get a MAE of 2.78
This repo consists the data and code for the Machine hack hackathon regarding the sales of Video Games. The evaluation metric is "RMSE"
Learn how to responsibly deliver value with ML.
This is the code using XGboost which was submitted in the hackathon
This Repository contains all the assignments of Andrew Ng course completed in MATLAB.
This is the code cotaining all the r codes inside the books workly perfectly.
Open Source Computer Vision Library
Problem-3 0f Dataplooza