7 Data Science tools 🛠️ you should be using in 2023 💡
#database #coding #dataanalytics
Data Science is a rapidly growing field that combines the power of computer science and mathematics to solve complex problems.
Data Science developers are responsible for analyzing data, creating algorithms and models to interpret it, and developing software applications that make use of this information.
The following are the top 7 data Science tools that will help you do your job faster.
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Tools🛠️
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🌐 Sources links:
1. TensorFlow
🔗 https://www.tensorflow.org
2. Jupyter Notebook
🔗 http://jupyter.org
3. Keras
🔗 https://keras.io
4. Tableau
🔗 https://www.tableau.com
5. Scikit-learn
🔗 https://scikit-learn.org
6. RapidMiner
🔗 https://rapidminer.com
7. PyTorch
🔗 https://pytorch.org
Happy working 💥