Hemant Patar (HemantPatar)

HemantPatar

Geek Repo

Company:Hemant Patar

Location:India

Home Page:www.linkedin.com/in/hemant-patar

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Hemant Patar's repositories

DT-Big-Mart

Big Mart sales prediction (decisiontree, randonforest, knn, svm)

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Micro-Credit

Micro credit defaulter prediction classification project (internship)

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Project-DYnamics-M20

Projects. Note: if ipynb files dosen't opens the go to the folowing link. https://nbviewer.jupyter.org/

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amazon-scrape-and-classification-of-images

Scraping product images from amazon website and and making deep learning model to classify scrapped images.

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Awesome-ARKit

A curated list of awesome ARKit projects and resources. Feel free to contribute!

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DT-covid

covid dataset eda & regression (decision tree, random forest, knn ,svm)

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DT-covid-dataset-analysis

(Decisiontree, Randomforest, kneighbours knn, svm) regressors

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DT-crime-report-Ind

EDA of crime report in Ind

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DT-Happiness-index

Happiness index Unsupervised(KMeans clustering)

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DT-Mushroom

Mushroom classification (logistic regression, KNeighborsClassifier, DecisionTreeClassifier, RandomForestClassifier,SVC)

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DT-Red-Wine

Red Wine Quality prediction ( randomforest classifier, sgd classifier, support vector classifier)

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DT-salary

predicting salary as per experience.(LinearRegression)

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DT-Sonar

To detect Rock and Mine form Sonar dataset Classifiers- (QuadraticDiscriminantAnalysis,RandomForestClassifier,AdaBoostClassifier,GaussianProcessClassifier,RBF,GaussianNB,KNeighborsClassifier,MLPClassifier,SVC,DecisionTreeClassifier,SGDClassifier)

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DT-Titanic

Survival prediction (RandomForestClassifier)

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DT-World-Happiness-Report

World happiness dataset analysis and unsupervised(KMeans clustering).

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malignant-comments-classification

multi label classification

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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New-York-City-Arrests-Data-Modelling-Analysis-and-Visualization

Analysis of New York State Police Department Arrests dataset. Created Dimensional Model for the provided dataset. Using Alteryx and Talend, built ETL pipelines to process, clean the data and create dimensions and facts in the destination database. Further, visualized the necessary details of the database using Tableau and PowerBI.

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Text-Classification

Simple Text Classfication using SVM and Naive Bayes

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tutorials

AI-related tutorials. Access any of them for free ↓

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