kiranfranklin999

E2E_ML_project

This deals with EDA and building various ML models using sklearn: KNeighborsRegressor DecisionTreeRegressor RandomForestRegressor,AdaBoostRegressor LinearRegression, Ridge,Lasso, etc and HP using randomCV and deploy the same in localhost via flask

End-to-End-Random-forest-implementation

Its is an End-to-End Random forest implementation includes data preprocessing [ cleaning, feature selection and engineering],EDA, hyperparameter tuning, Model interpretation with uncertainty and prediction intervals and plotting the feature importance .

Exploring_QSAR_from_data_curation_to_SAR

Exploring QSAR: From Data Collection to Structure-Activity Relationship Analysis

iNeuron_FullStack_DataScience

kiranfranklin999

Mechanisms-of-Action-MoA-Prediction

Mechanisms of Action (MoA) Prediction

ML_with_nextflow_poc

It is POC project, using Nextflow to run ML pipeline

molpro

MolPro is a comprehensive python package for small molecule generation using protein active site or/and similar molecules using 3D information of molecules with in-silico validation of molecules by docking , pharmacophore hypothesis. Also off target prediction based on the binding site similarities.

Nextflow_tutorials

Introduction to Bioinformatics workflows with Nextflow

Plant_disease_classifiction

PyQT based GUI to classify the plant disease classification. Model is trained on Kaggle data.

kiranfranklin999/molpro

MolPro is a comprehensive python package for small molecule generation using protein active site or/and similar molecules using 3D information of molecules with in-silico validation of molecules by docking , pharmacophore hypothesis. Also off target prediction based on the binding site similarities.

kiranfranklin999/E2E_ML_project

This deals with EDA and building various ML models using sklearn: KNeighborsRegressor DecisionTreeRegressor RandomForestRegressor,AdaBoostRegressor LinearRegression, Ridge,Lasso, etc and HP using randomCV and deploy the same in localhost via flask

kiranfranklin999/End-to-End-Random-forest-implementation

Its is an End-to-End Random forest implementation includes data preprocessing [ cleaning, feature selection and engineering],EDA, hyperparameter tuning, Model interpretation with uncertainty and prediction intervals and plotting the feature importance .

kiranfranklin999/Exploring_QSAR_from_data_curation_to_SAR

Exploring QSAR: From Data Collection to Structure-Activity Relationship Analysis

kiranfranklin999/iNeuron_FullStack_DataScience

kiranfranklin999/kiranfranklin999

kiranfranklin999/ML_with_nextflow_poc

It is POC project, using Nextflow to run ML pipeline

kiranfranklin999/Multi_output_regression

This repo is tutorial for exploring various algorithms for Multi-output prediction in ML and DL using a regressor data and understanding them how mathematically they work.

kiranfranklin999/Plant_disease_classifiction

PyQT based GUI to classify the plant disease classification. Model is trained on Kaggle data.

kiranfranklin999/datasharing

The Leek group guide to data sharing

kiranfranklin999/Mechanisms-of-Action-MoA-Prediction

Mechanisms of Action (MoA) Prediction

kiranfranklin999/Nextflow_tutorials

Introduction to Bioinformatics workflows with Nextflow

kiranfranklin999/Breast_cancer_survival_pred

Breast Cancer Survival Prediction

kiranfranklin999/ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

kiranfranklin999/MoleculeACE

A tool for evaluating the predictive performance on activity cliff compounds of machine learning models

kiranfranklin999/neoantigen-dumps

kiranfranklin999/OpenCV_projects

OpenCV mini projects

kiranfranklin999/rajesh

kiranfranklin999/resume

My resume

kiranfranklin999/RNASEQ_Upstream_downstream

Simple RNA Seq upstream pipeline buidling using nextflow and downstream analysis using DESeq2

kiranfranklin999/simple_RNAseq_pipeline_using_nextflow

Simple RNA-seq upstreaming Pipeline using Nextflow

kiranfranklin999/TCGA-FOR-Pathway-analysis-classification

kiranfranklin999/Techminds_webpage