Search result for Regression models Online Courses & Certifications
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Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. -Describe and use logistic regression models Logistic Regression Introduction to Logistic Regression Classification with Logistic Regression Logistic Regression Lab - Part 1 Logistic Regression Lab - Part 2...
Getting started with Sap Analytics Cloud
by DataViz Academy- 4.1
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4.5 hours on-demand video
Build models by importing CSV files Build models by using SQL queries from BigQuery Design stories from the scratch using the models Build Analytical application from the scratch using the models Build Classification models Build Regression models Build Time series models Interpret the metrics for Regression...
$9.99
Machine Learning Mastery (Integrated Theory+Practical HW)
by SaifAli Kheraj- 4
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8 hours on-demand video
Use Builtin Libraries available to build machine learning models Be able to analyze, build, and assess models on any dataset Detailed explanations of how models work Regression from scratch - Gradient Descent, Cost Function , Modelling Polynomial Regression...
$9.99
Time Series Analysis and Forecasting using Python
by Start-Tech Academy- 4.1
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13 hours on-demand video
Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN Implement multivariate forecasting models based on Linear regression and Neural Networks. A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course. Theoretical concepts and use cases of different forecasting models...
$12.99
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Supervised learning algorithms, including classification and regression...
$99
Deep Learning by TensorFlow 2.0 Basic to Advance with Python
by Shiv Onkar Deepak Kumar- 3.3
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17.5 hours on-demand video
x for Regression (2 models) x for Regression (2 models)...
$12.99
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 18 hours to complete
Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? Predicting house prices: A case study in regression Other regression examples Regression ML block diagram Learning a simple regression model to predict house prices from house size Using precision-recall to compare recommender models...
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Introduction to Predictive Analytics using Python
by Dr Johannes De Smedt , Obinna Unigwe , Sofia Varypati , Dr Xuefei Lu- 0.0
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6 Weeks
Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. Clean datasets to prevent data quality issues in your models Implement linear and logistic refression models using real-life data...
$150
Marketing Analytics: Forecasting Models with Excel
by Start-Tech Academy- 4.5
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7 hours on-demand video
Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business. Make forecasts based on models...
$16.99
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
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10.5 hours on-demand video
Regression Metrics - Mean Absolute Error, Mean Squared Error, R 2. Non-Linear Algorithms - k-Nearest Neighbours, Naive Bayes, Classification and Regression Trees, Support Vector Machines. Spot-Checking Regression Algorithms Linear Algorithms - Linear Regression, Ridge Regression, LASSO Linear Regression and Elastic Net Regression. steps For Finalizing regression models - boston housing dataset...
$11.99
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