In this video, Dipayan Sarkar, Data Science consultant at Imarticus Learning talks about Predictive analytics and its real-life examples in the industry. Predictive analytics refers to using historical data, machine learning, and artificial intelligence to predict what will happen in the future. This historical data is fed into a mathematical model that considers key trends and patterns in the data.
In this series, we will explore the need for Predictive analytics in real-world. Predictive analytics is primarily used to transform data into actionable insights, develop statistically sound and robust analytic solutions, It also helps in evaluating constraints on data usage and assess data structure and data lifecycle.
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Imarticus Learning offers a comprehensive range of professional Financial Services and Analytics programs that are designed to cater to an aspiring group of professionals who want a tailored program on making them career ready. Our programs are driven by a constant need to be job relevant and stimulating, taking into consideration the dynamic nature of the Financial Services and Analytics market, and are taught by world-class professionals with specific domain expertise.
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