Search result for Regression and classification Online Courses & Certifications
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Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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23 hours on-demand video
Understand the theory and intuition behind several machine learning algorithms for regression tasks (simple/multiple/polynomial), classification and clustering (K-Means). Assess the performance of trained machine learning regression models using various KPI (Key Performance indicators) such as Mean Absolute Error, Mean Squared Error, and Root Mean Squared Error intuition, R-Squared intuition, and Adjusted R-Squared....
$17.99
Complete linear algebra: theory and implementation in code
by Mike X Cohen- 4.8
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33.5 hours on-demand video
Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python. Clear and comprehensible explanations of concepts and theories in linear algebra. Visualization using graphs, numbers, and spaces that strengthens the geometric intuition of linear algebra. Implementations in MATLAB and Python. Understand the math underlying machine learning and linear classification algorithms....
$13.99
Text Mining and Natural Language Processing in R
by Minerva Singh- 4.3
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8.5 hours on-demand video
Data Structures and Reading in R, including CSV, Excel, JSON, HTML data. Web-Scraping using RExtracting text data from Twitter and Facebook using APIsExtract and clean data from the FourSquare appExploratory data analysis of textual dataCommon Natural Language Processing techniques such as sentiment analysis and topic modellingImplement machine learning techniques such as clustering, regression and classification on textual dataNetwork analysis...
$15.99
Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. Decision Trees for Interval Targets: Regression Trees Regularizing and Tuning the Hyperparameters of a Machine Learning Model...
Understanding Clinical Research: Behind the Statistics
by Juan H Klopper- 4.8
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Approx. 27 hours to complete
Observing and intervening: Observational & experimental studies Observing and describing: Case series studies Type I and II: Hypothesis testing errors Key notes: Null and alternative hypothesis Linear Regression Key notes: Linear regression Categorical data and analyzing accuracy of results Comparing observed and expected values: Chi-square test Introduction to sensitivity and specificity...
Fundamentals of Engineering Exam Review
by Dr. Philip Roberts- 4.7
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Approx. 22 hours to complete
It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Analytic Geometry and Trigonometry: Straight Lines Analytic Geometry and Trigonometry: Polynomials and Conics Analytic and Geometry and Trigonometry: Trigonometry Pumps and Turbines Pumps and Turbines Continued Hydraulics and Hydrological Systems Static Determinacy: Trusses and Beams...
Python: A-Z Artificial Intelligence with Python: 5-in-1
by Packt Publishing- 3.9
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8.5 hours on-demand video
Artificial Intelligence is one of the hottest field in computer science at the moment and has taken the world by storm as a major field of development and research. The first course, Supervised and Unsupervised Learning with Python, covers various classification and regression techniques. Lastly, you will build intelligent applications centered on text and time series data....
$11.99
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Practical Machine Learning by Example in Python
by Madhu Siddalingaiah- 0.0
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8 hours on-demand video
A Deep Dive into Building Machine Learning and Deep Learning models Are you a developer interested in building machine learning and deep learning models? Each example is independent and follows a consistent structure, so you can work through examples in any order. How to analyze and visualize data How to prepare data for training and testing...
$12.99
Telecom Customer Churn Prediction in Apache Spark (ML)
by Bigdata Engineer- 3.2
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1.5 hours on-demand video
To put it simply, it allows the Spark Core to perform machine learning tasks – and (as you will see in this Apache Spark tutorial) does it in breathtaking speed. In this Data Science Machine Learning project, we will create Telecom Customer Churn Prediction Project using Classification Model Logistic Regression, Naive Bayes and One-vs-Rest classifier few of the predictive models....
$9.99
Working Operations Management Problems
by Ronny Richardson- 4.1
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9 hours on-demand video
These include productivity, breakeven analysis, efficiency, processing requirements, number of kanban cards, yield, and learning curves. These include simple moving averages, weighted moving averages, simple exponential smoothing, trend-adjusted exponential smoothing, simple regression, multiple regression, seasonal forecasts, MAD, MAPD, MSE, tracking signals, and control charts. These include forecasting error terms, x-bar, R, P, and C charts....
$9.99
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