harshildarji/Machine-Learning
Machine Learning Practise
This collection of examples and tutorials helps developers understand and apply various machine learning techniques. It covers tasks like analyzing text sentiment, recognizing faces in images, forecasting time series data, and classifying images. The resource provides code examples that take raw data (like text, images, or historical values) and produce predictions or classifications. It is ideal for data scientists, machine learning engineers, and Python developers looking to implement and deploy ML models.
Use this if you are a developer looking for practical code examples and tutorials to learn and apply machine learning algorithms for tasks like sentiment analysis, image recognition, or time series forecasting.
Not ideal if you are a non-technical end-user seeking a ready-to-use application without needing to write code or understand underlying machine learning concepts.
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Jupyter Notebook
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Last pushed
Mar 28, 2026
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