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Data Science Projects for Beginners in 2025: Practical Ideas with Real KPIs

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“Explore beginner-friendly Data Science projects for 2025 across Machine Learning, AI, NLP, Power BI, SQL, and Python. Build skills with real KPIs!” Starting your journey in data science can be overwhelming. With new tools, techniques, and AI trends emerging daily, beginners often get stuck choosing the “right” project. In 2025, companies demand real-world skills, not […]

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Data Analysis and Hypothesis Testing Using a Banking Dataset

Data Science / Analytics Siksha

Introduction In this analysis, we will explore a banking dataset, preprocess the data, build a classification machine learning model, and perform hypothesis testing to validate insights. The goal is to classify customers based on their likelihood of subscribing to a term deposit and to use statistical tests to support our findings. Step 1:

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Understanding Hypothesis Testing in Data Science and Machine Learning

Data Science / Analytics Siksha

Hypothesis testing is a crucial statistical method used to make informed decisions based on data. In data science and machine learning, it plays a significant role in validating assumptions, testing new models, and optimizing business strategies. By understanding hypothesis testing, we can distinguish between genuine patterns in data and random noise, ensuring

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Understanding the Confusion Matrix in Machine Learning with Real-Life Examples

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Machine learning models are widely used in various fields, from healthcare and finance to spam detection and fraud prevention. However, evaluating the performance of these models is crucial to ensure their effectiveness. One of the most commonly used tools for assessing classification models is the confusion matrix. It provides a comprehensive way to

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