vrajtamu Goto Github PK

analyzing-international-debt-statistics

Here I have analyzed the international debts that are accumulated by the countries and determined which country is having the highest debt on it. Moreover, I have also analyzed countries with the highest debts in specific fields.

boston-housing-prices

Executed Exploratory Data Analysis to prepare a Linear Regression Model and transformed it for best fit model | Ranked the houses based in their price and determined the attributes that are common for top 5% of houses | Predicted house prices for various neighborhood characteristics, prepared trade off model for lower prices

dashboardom

Portfolio of Dash Interactive Dashboards / Mini Apps

datathon

Texas A&M Datathon

electric-power-hourly-load-forecasting-using-recurrent-neural-networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

multiclass_logistic_classifier_to_predict_fetal_state_code-npv-cardiotocography-

A multiclass Logistic Regression is implemented on the Cardioctograph which is the recordings of fetal heartbeats and uterine contractions during pregnancy. By taking all parameters in consideration classfier will predict fetal state code (NSP). NSP has three classes namely N=normal, S=suspect, P=pathologic.

nlp-walmart-sentiment-analysis

I have started NLP practice using the Walmart dataset. The perforemed operations on the text are as follows - Sentiment Analysis of text - Plotting Word Embeddings (vectors), Genism - Syntactic Dependencies - Lemmatization of text - Processed texts for obtaining speech tags, words, sentences

python-toolbox-1

Here there are practice codes from Datacamp for the problems that are frequently occurring in Data Science field .

single_class_logistic_classifier_for_recommending_webpages

Here, I have built a classifier for the magazine reseller trying to decide which customers to to send advertisements. It can be interpreted as deciding recommendations to make to a customer viewing a web page that customer might be interested in and hence want to buy.

starting-with-python

Here I have uploaded my practice codes with pandas in python. The dataset is imported from Datacamp online courseware Introduction to Python for Data Science

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

tbaleau_salary-analysis

Here I analyzed the salaries for different types of job title subgroups that for the years after great recession, i.e post 2008 era.

test-app

vrajtamu.github.io

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