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Stock Fundamental Analysis with Excel
by Diego Fernandez- 3.9
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9 hours on-demand video
Approximate theoretical stock price through discounted cash flow models (DCF) such as discounted dividends model (DDM), discounted free cash flow to equity model (DFCFE) and discounted free cash flow to firm model (DFCFF). Next, you’ll learn how to do random number generation for option pricing calculation using Microsoft Excel® Add-in....
$15.99
Machine Learning & Data Science Masterclass in Python and R
by Denis Panjuta- 4.1
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17 hours on-demand video
You know when which models might come into question and how to compare them. Random Forest Compare models with each other:...
$11.99
Python Regression Analysis: Statistics & Machine Learning
by Minerva Singh- 4.4
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6 hours on-demand video
This course is based on my years of regression modelling experience and implementing different regression models on real life data. Implement generalized linear models (GLMs) such as logistic regression using Python Work with tree-based machine learning models Implement machine learning methods such as random forest regression and gradient boosting machine regression for improved regression prediction accuracy....
$12.99
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Optimize and evaluate models using loss functions and performance metrics Short History of ML: Random Forests Lab Intro: Decision Trees and Random Forests in Python Defining ML Models Generalization and ML Models Generalization and ML Models...
Python: Step into the World of Machine Learning
by Packt Publishing- 2.9
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6 hours on-demand video
It then moves on to discuss the more complex algorithms, such as Support Vector Machines, Extremely Random Forests, Hidden Markov Models, Sentiment Analysis, and Conditional Random Fields. You will also learn how to train your machine to build new models that help make sense of deeper layers within your data....
$12.99
Fundamentals of Data Science & Machine Learning with Python
by Aditya Khedkar- 4.2
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5 hours on-demand video
In this section, you will learn different machine learning models from which you can train your data and find insights from it. Probability for Data Science - Probability definition, Random Variables, Probability Distribution, Bayes' Theorem Machine Learning Models - Simple and Multiple Linear Regression, Advance Linear Regression, Decision Tree, SVM, K-means Clustering...
$12.99
Spark and Python for Big Data with PySpark
by Jose Portilla- 4.6
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10.5 hours on-demand video
Use Spark with Random Forests for Classification Use Spark's MLlib to create Powerful Machine Learning Models...
$22.99
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Applied Machine Learning with Python (Trading) - 2020
by The Trading Whisperer- 2.5
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4.5 hours on-demand video
Learn how to use machine learning such as random forest and SVMs to develop quantitative trading strategies in Python Code along while learning about feature engineering, write algorithms for training and testing support vector machine, and random forest models and use these to predict the next price direction of Bitcoin....
$12.99
Peer-to-Peer Protocols and Local Area Networks
by Xiaobo Zhou- 4.7
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Approx. 16 hours to complete
MAC Random Access: Aloha Random Access: CSMA and CSMA/CD Lecture Slides - MAC Random Access: Aloha Lecture Slides - Random Access: CSMA and CSMA/CD...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. Comparing Models Independent of Costs and Cutoffs Building Logistic Regression Models using XLMiner Trees and Other Predictive Models Bagging, Boosting, Random Forest...
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