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Supervised Machine Learning: Regression and Classification (Coursera)

Jul 4th 2022
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 [...]

Machine Learning: Concepts and Applications (Coursera)

Jul 4th 2022
Machine Learning: Concepts and Applications (Coursera)
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This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a [...]

Introduction to Machine Learning in Sports Analytics (Coursera)

In this course students will explore supervised machine learning techniques using the python scikit learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes. Building on the previous courses in the specialization, students will apply methods such as support vector [...]

Introduction to Data Science and scikit-learn in Python (Coursera)

Jul 4th 2022
Introduction to Data Science and scikit-learn in Python (Coursera)
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This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some [...]

Introduction to Bayesian Statistics (Coursera)

Jul 4th 2022
Introduction to Bayesian Statistics (Coursera)
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The objective of this course is to introduce Computational Statistics to aspiring or new data scientists. The attendees will start off by learning the basics of probability, Bayesian modeling and inference. This will be the first course in a specialization of three courses .Python and Jupyter notebooks will be [...]

Machine Learning with Python (Coursera)

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will [...]

Aprendizaje Automático con Python (Coursera)

Jun 27th 2022
Aprendizaje Automático con Python (Coursera)
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Este curso se sumerge en los conceptos básicos del aprendizaje automático mediante un lenguaje de programación accesible y conocido, Python. En este curso, repasaremos dos componentes principales. Primero, aprenderá sobre el propósito del aprendizaje automático y dónde se aplica al mundo real.

Applied Machine Learning in Python (Coursera)

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. [...]

Basic Data Analysis and Model Building using Python (Coursera)

By the end of this project learners will be able to perform data ingestion using Pandas and Numpy, preprocess and visualize the data using Matplotlib and Seaborn. Learners will also build a binary classification model using Scikit-Learn. Additionally, learners will be introduced to other data science concepts and techniques [...]

Predicting Wine Quality with Random Forest and Scikit-Learn (Coursera)

In real life we face various classification problems, such as predicting whether an email is spam or not, or whether a credit card transaction is fraudulent or not, or what label the mobile phone should assign to the image it focuses on, perhaps a flower, a dog, a person [...]