Ibrokhimsadikov

Can-money-buy-politics-

General Description The all candidate summary file contains one record including summary financial information for all candidates who raised or spent money during the period no matter when they are up for election. This file is similar to the current campaign summary file described above. This file is completely dependent upon summary information reported by the campaign itself. This means that the time period covered by this file may be more recent than for the current version of the post-cycle candidate summary file described below. During the primary election season the period covered may be different for candidates in different states. The cost of this timeliness, though, is that some of the information available here is less precise than for the post-cycle candidate summary file. For example, break-outs by special interest group code are not possible. When using the all candidates summary file you need to be aware of some possible double counting of activity. Some candidates have more then one committee authorized to raise and spend funds on their behalf. The activity reflected in this file represents the sum of those committees. If they transfer funds back and forth among each other, this activity would be counted twice. Information about “transfers from authorized committees” and “transfers to authorized committees” is included in the file and if there are values in both of these fields it is necessary to subtract these from total receipts and total disbursements to obtain a more accurate value for actual activity.

Cluster-K-k-means-DBSACAN-Hirarch

CLustering-PCA-

Credit-risk-default

Final-Projecct

Instacart dashboard

Flexdashboard

NYC flights dashboard with interesting chernoff graph

Information-Retrieval-Query-Processing-Inverted-Index

Linear-Regression

Running running regression and KNN through python

Machine-Translation-IBM1

Shinyapp-H2OautoML-Credit-Risk-Default-platform

Ibrokhimsadikov/Shinyapp-H2OautoML-Credit-Risk-Default-platform

Ibrokhimsadikov/Can-money-buy-politics-

General Description The all candidate summary file contains one record including summary financial information for all candidates who raised or spent money during the period no matter when they are up for election. This file is similar to the current campaign summary file described above. This file is completely dependent upon summary information reported by the campaign itself. This means that the time period covered by this file may be more recent than for the current version of the post-cycle candidate summary file described below. During the primary election season the period covered may be different for candidates in different states. The cost of this timeliness, though, is that some of the information available here is less precise than for the post-cycle candidate summary file. For example, break-outs by special interest group code are not possible. When using the all candidates summary file you need to be aware of some possible double counting of activity. Some candidates have more then one committee authorized to raise and spend funds on their behalf. The activity reflected in this file represents the sum of those committees. If they transfer funds back and forth among each other, this activity would be counted twice. Information about “transfers from authorized committees” and “transfers to authorized committees” is included in the file and if there are values in both of these fields it is necessary to subtract these from total receipts and total disbursements to obtain a more accurate value for actual activity.

Ibrokhimsadikov/CLustering-PCA-

Ibrokhimsadikov/Credit-risk-default

Ibrokhimsadikov/Final-Projecct

Instacart dashboard

Ibrokhimsadikov/Flexdashboard

NYC flights dashboard with interesting chernoff graph

Ibrokhimsadikov/Information-Retrieval-Query-Processing-Inverted-Index

Ibrokhimsadikov/ner-annotator

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

Ibrokhimsadikov/NEW-credit-risk

Updated files

Ibrokhimsadikov/Rstudio

Using ggplot and leaflet with different animations

Ibrokhimsadikov/Rstudio-ggplot

Using GGPLOT from visualization

Ibrokhimsadikov/shiny-app-with-William-Shakespeare

We have implemented shiny app with text analytics

Ibrokhimsadikov/Times-series-Garch-Arch

Ibrokhimsadikov/Walmart-sales-prediction

Classification, Regression and Cluster Analysis

Ibrokhimsadikov/-

Ibrokhimsadikov/ABD_Society

Ibrokhimsadikov/airbnb

Ibrokhimsadikov/app_abu

Ibrokhimsadikov/ARM_interactive

Ibrokhimsadikov/awslambda-serverless

Ibrokhimsadikov/cloud-dataproc

Cloud Dataproc: Samples and Utils

Ibrokhimsadikov/Colab-test

Ibrokhimsadikov/collections

Ibrokhimsadikov/Delivery

Building continuous delivery app on GCP using Flask

Ibrokhimsadikov/Dockerhub

Continuous delivery app through docker

Ibrokhimsadikov/dockerproj

This is dockerworkflow

Ibrokhimsadikov/firstwebsite

Ibrokhimsadikov/Queen-City-hack

Queen City Hack-submission

Ibrokhimsadikov/Riskscorecard

Ibrokhimsadikov/Streamlit_app

This is simple Streamlit ML app