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Education for All: Disability, Diversity and Inclusion
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An introduction to production management covering aggregate planning, demand forecasting, inventory control, assembly line balancing, and plant location.
A data science tutorial shows how machine learning, including decision trees, can help detect fraud in bank transactions.
Master essential front-end technologies including JavaScript, HTML, CSS, Angular, React, and jQuery through comprehensive tutorials designed for beginners and aspiring web developers.
An introduction to management through its five functions, three organizational levels, and Henri Fayol’s 14 principles.
Are you someone who is graduated in non Technical Streams and is interested in Programming ?. Well if that is the case stick on to this video as we will be discussing interesting facts and points which will help you get started on your dream to become a…
A concise Python tutorial for collecting data from websites through web scraping.
Learn foundational machine learning with Python, covering statistics, supervised and unsupervised algorithms, dimensionality reduction, clustering, and practical applications.
Learn how multilayer perceptrons use interconnected neuron layers to model complex data patterns, with an introduction to neural networks and a practical demonstration.
An introductory tour of AI, from neural networks to NLP and computer vision applications such as facial recognition and traffic analysis.
Learn how linear regression forecasts outcomes from dependent and independent variables, including regression equations and implementation in Python.
An introduction to how businesses set financial goals, allocate capital, and use markets and financing to support growth.
Learn how financial accounting records transactions and how to read balance sheets, income statements, cash flow statements, and core financial ratios.
Learn to clean, analyze, and visualize data in Excel with functions, lookups, pivot tables, and charts.
Learn regression analysis for machine learning through case studies of linear and logistic regression.
A Python-based introduction to NumPy arrays, Pandas data manipulation, and Matplotlib and Seaborn visualization for data science.
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