6. Matplotlib: Matplotlib is a library for creating visualizations in Python. It provides a wide range of tools for creating plots, charts, and other visualizations of data. https://
matplotlib.org
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Matplotlib: Python Data Visualization Library for AI
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Keras: High-Level Neural Network Library Built on TensorFlow
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6. Keras Keras is a high-level library for building and training neural networks. It is built on top of TensorFlow and provides a simple and intuitive interface for defining and training models. It is well-suited for quick prototyping. https://
keras.io -
TensorFlow: Google’s Open-Source Machine Learning Platform
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5. TensorFlow TensorFlow is an open-source machine-learning library developed by Google. It provides a flexible and efficient platform for building, training, and deploying machine learning models, including support for deep learning. https://
tensorflow.org -
PyTorch: Facebook’s Open-Source Deep Learning Framework
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4. PyTorch PyTorch is an open-source machine-learning library developed by Facebook. It is a popular choice for deep learning and provides support for dynamic computation graphs, which allow for more flexible and efficient model design. https://
pytorch.org -
scikit-learn: comprehensive machine learning library for Python
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3. scikit-learn scikit-learn is a library for machine learning in Python. It provides a wide range of algorithms for classification, regression, clustering, and model selection, as well as tools for evaluating the performance of these models. https://
scikit-learn.org/stable/ -
Pandas: Essential Data Manipulation Library for Analysis
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2. Pandas Pandas is a library for data manipulation and analysis. It provides functions and data structures for efficiently working with large datasets, including support for handling missing data, time series analysis, and merging and joining data. https://
pandas.pydata.org -
NumPy: Essential Python Library for Scientific Computing
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1. NumPy NumPy is a fundamental library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices of numerical data, as well as functions to perform operations on these data structures. https://
numpy.org -
Seven Python Libraries Every Machine Learning Engineer Should Know
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7 Python libraries every machine learning engineer should know. (A thread)
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Essential Collaboration Skills for Data Analysts
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5. Collaboration skills: Data analysts often work on cross-functional teams and must be able to collaborate effectively with others in order to achieve their goals.
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Essential Communication Skills for Data Analysts
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4. Communication skills: A data analyst should be able to communicate findings and recommendations clearly and effectively to both technical and non-technical audiences. Learn communication skills from: Harappa Education Mind Tools LinkedIn Learning