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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

gdp-per-capita-in-us-states-with-tableau

Data Visualization

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.

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

medical-cost-prediction-with-linear-regression-and-random-forest-regressor

Medical Cost Prediction across US regions

melanoma-classification

Classification of benign and malignant tumors with Tensorflow and EfficientNetB7

nlp-disaster-tweets-with-keras

GloVe+LSTM

suicide-rate-analysis

Suicide Rate Analysis of the countries from 1985 to 2016

vikas-ukani

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wine-reviews-with-spacy-and-bert

NLP

world-development-indicators-with-sql

Using SQLite database