Hire the best Data Scrapers in Leipzig, DE

Check out Data Scrapers in Leipzig, DE with the skills you need for your next job.

Clients rate Data Scrapers
Rating is 4.9 out of 5.
4.9/5
based on 194 client reviews
Anton B.
$30/hr
  • Trophy Icon Data Scraping
  • TensorFlow
  • pandas
  • Selenium
  • Python Scikit-Learn
  • Neural Network
  • Data Visualization
  • Data Analytics
  • GitHub
  • Keras
  • NumPy
  • Python
  • Deep Learning
  • OpenCV
  • Machine Learning

I am passionate about data science, machine learning and deep learning spaces. Working on multiple projects in different industries gave me a decent experience to solve problems in the most convenient way. I can provide solutions in predictive modelling, sentiment analysis, classification, regression, clustering, segmentation and more. ✅ Skillset : ✔ Deep learning Neural Nets (ANNs, CNNs, RNNs). ✔Computer vision CNN architectures : ResNet, VGG, EfficientNet, ViT...etc. ✔ Natural Language Processing : Text classification, Sentiment Analysis, Name Entity Recognition, Neural Machine Translation. ✔Machine Learning : Linear Regression, Logistic...

David H.
$10/hr
  • Trophy Icon Data Scraping
  • Data Entry
  • Data Mining
  • Copy & Paste
  • Microsoft Excel

Hey, I am experienced with Excel formats, converting data into them and also professional lead generation and putting the information into an Excel format. Hit me up if you want a quick, efficient person who does the boring work for you!

Orion L.
$30/hr
  • Trophy Icon Data Scraping
  • TensorFlow
  • Computer Vision
  • pandas
  • NumPy
  • Keras
  • Machine Learning
  • Python
  • Deep Learning
  • OpenCV
  • Natural Language Processing
  • Data Analytics
  • Data Visualization
  • PyTorch
  • Neural Network

✅ Skillset : ✔ Deep learning Neural Nets (ANNs, CNNs, RNNs). ✔Computer vision CNN architectures : ResNet, VGG, EfficientNet, ViT...etc. ✔ Natural Language Processing : Text classification, Sentiment Analysis, Name Entity Recognition, Neural Machine Translation. ✔Machine Learning : Linear Regression, Logistic Regression, SVMs, Decision Trees, Random Forest Classifiers. ✔ Dimentionality Reduction techniques : PCA , T-SNE, LDA. ✔ Complex Machine Learning models such as Gradient Boosted Machines using XGBoost, CatBoost and LightGBM. ✔Sentiment Analysis and Topic Modelling. ✔Tweet Scraping. ✔Churn Modelling. ✔Feature Engineering. ✔Data Analysis....

$NaN/hr

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