Pinned Repositories
azure-end-to-end-data-pipeline
Claude-Monet-Paintings-with-GANs
Generative adversarial networks (GANs), introduced in 2014 by Goodfellow, are for learning latent spaces of images. They enable the generation of fairly realistic synthetic images by forcing the generated images to be statistically almost indistinguishable from real ones
Covid-19-in-Bolivia
Covid-19 analysis in Bolivia from March 21, 2020 to July 20, 2020 with Plotly and 30-day prediction with Polynomial Regression
Credit-Card-Fraud-Detection
Credit Card Fraud Detection with SMOTE
House-Prices-Advanced-Regression-Techniques
Stacking models
Kaggle-DS-and-ML-Survey-2020
This year, 20,036 Kaggle users told us how they learn and level up, which tools they’re using, and what they recommend. The results include raw numbers about who is working with data, what’s happening with machine learning in different industries, and the best ways for new data scientists to break into the field.
Medical-Cost-Prediction-with-Linear-Regression-and-Random-Forest-Regressor
Medical Cost Prediction across US regions
NLP-Disaster-Tweets-with-Keras
GloVe+LSTM
Wine-Reviews-with-SpaCy-and-BERT
NLP
World-Development-Indicators-with-SQL
Using SQLite database
mariapushkareva's Repositories
mariapushkareva/Claude-Monet-Paintings-with-GANs
Generative adversarial networks (GANs), introduced in 2014 by Goodfellow, are for learning latent spaces of images. They enable the generation of fairly realistic synthetic images by forcing the generated images to be statistically almost indistinguishable from real ones
mariapushkareva/Kaggle-DS-and-ML-Survey-2020
This year, 20,036 Kaggle users told us how they learn and level up, which tools they’re using, and what they recommend. The results include raw numbers about who is working with data, what’s happening with machine learning in different industries, and the best ways for new data scientists to break into the field.
mariapushkareva/House-Prices-Advanced-Regression-Techniques
Stacking models
mariapushkareva/azure-end-to-end-data-pipeline
mariapushkareva/Covid-19-in-Bolivia
Covid-19 analysis in Bolivia from March 21, 2020 to July 20, 2020 with Plotly and 30-day prediction with Polynomial Regression
mariapushkareva/Credit-Card-Fraud-Detection
Credit Card Fraud Detection with SMOTE
mariapushkareva/GDP-per-capita-in-US-States-with-Tableau
Data Visualization
mariapushkareva/Medical-Cost-Prediction-with-Linear-Regression-and-Random-Forest-Regressor
Medical Cost Prediction across US regions
mariapushkareva/NLP-Disaster-Tweets-with-Keras
GloVe+LSTM
mariapushkareva/Wine-Reviews-with-SpaCy-and-BERT
NLP
mariapushkareva/World-Development-Indicators-with-SQL
Using SQLite database
mariapushkareva/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
mariapushkareva/mariapushkareva
mariapushkareva/Melanoma-Classification
Classification of benign and malignant tumors with Tensorflow and EfficientNetB7
mariapushkareva/Suicide-Rate-Analysis
Suicide Rate Analysis of the countries from 1985 to 2016
mariapushkareva/vikas-ukani
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