This is the first video lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics
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must watch
Data Science - Part III - EDA & Model Selection
This lecture introduces the concept of EDA, understanding, and working with data for machine learning and predictive analysis. The lecture is designed for anyone who wants to
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Data Science - Part VI - Market Basket and Product Recommendation Engines
This lecture provides an overview of association analysis, which includes topics such as market basket analysis and product recommendation engines. The first practical example centers
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Data Science - Part V - Decision Trees & Random Forests
This lecture provides an overview of decision tree machine learning algorithms and random forest ensemble techniques. The practical example includes diagnosing Type II diabetes and
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Data Science - Part X - Time Series Forecasting
This lecture provides an overview of Time Series forecasting techniques and the process of creating effective forecasts. We will go through some of the popular statistical methods
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Data Science - Part XVI - Fourier Analysis
This lecture provides an overview of the Fourier Analysis and the Fourier Transform as applied in Machine Learning. We will go through some methods of calibration and diagnostics and
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Data Science - Part II - Working with R & R Studio
This tutorial will go through a basic primer for individuals who want to get started with predictive analytics through downloading the open source (FREE) language R. I will go through
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Data Science - Part VIII - Artifical Neural Network
This lecture provides an overview of biological based learning in the brain and how to simulate this approach through the use of feed-forward artificial neural networks with back
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Data Science - Part XII - Ridge Regression, LASSO, and Elastic Nets
This lecture provides an overview of some modern regression techniques including a discussion of the bias variance tradeoff for regression errors and the topic of shrinkage estimators.
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Data Science - Part XVII - Deep Learning & Image Processing
This lecture provides an overview of Image Processing and Deep Learning for the applications of data science and machine learning. We will go through examples of image processing
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What Is Digital Marketing and Why It Matters
Digital marketing is the promotion of products or brands via one or more forms of electronic media and differs from traditional marketing in that it involves the use of channels and
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Data Science - Part IX - Support Vector Machine
This lecture provides an overview of Support Vector Machines in a more relatable and accessible manner. We will go through some methods of calibration and diagnostics of SVM and then
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Data Science - Part XIV - Genetic Algorithms
This lecture provides an overview on biological evolution and genetic algorithms in a machine learning context. We will start off by going through a broad overview of the biological
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Data Science - Part XVIII - Big Data Fundamentals for Data Scientists
This lecture will focus our attention towards understanding the Big Data landscape from a Data Scientists perspective. The presentation will start off with a brief overview of the need
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The strategic advantage of Big Data
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