Regression

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Machine Learning with Python: from Linear Models to Deep Learning (edX)

May 27th 2024
Machine Learning with Python: from Linear Models to Deep Learning (edX)
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An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), [...]

Data Science Companion (Coursera)

Mar 29th 2024
Data Science Companion (Coursera)
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The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview [...]

Customer Data Analytics for Marketers (Coursera)

This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies.

Regression & Forecasting for Data Scientists using Python (Coursera)

Mar 25th 2024
Regression & Forecasting for Data Scientists using Python (Coursera)
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This course provides comprehensive training in regression analysis and forecasting techniques for data science, emphasizing Python programming. You will master time-series analysis, forecasting, linear regression, and data preprocessing, enabling you to make data-driven decisions across industries.

Trees, SVM and Unsupervised Learning (Coursera)

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages [...]

Supervised Machine Learning: Regression and Classification (Coursera)

Mar 25th 2024
Supervised Machine Learning: Regression and Classification (Coursera)
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In the first course of the Machine Learning Specialization, you will: build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn; build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic [...]

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You [...]

Build Regression, Classification, and Clustering Models (Coursera)

Mar 25th 2024
Build Regression, Classification, and Clustering Models (Coursera)
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In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, [...]
Mar 25th 2024
Course Auditing
41.00 EUR/month

Simple Regression Analysis in Public Health (Coursera)

Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between [...]

Supervised Learning: Regression (Coursera)

Mar 25th 2024
Supervised Learning: Regression (Coursera)
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This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, [...]