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Analyzing Data with Python (edX)

Self Paced
Analyzing Data with Python (edX)
Course Auditing
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In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
1
Average: 1 ( 2 votes )

Data Analytics in Accounting Capstone (Coursera)

This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem. You will be provided with a loan dataset from [...]
0
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Advanced Data Science Capstone (Coursera)

Apr 26th 2021
Advanced Data Science Capstone (Coursera)
Course Auditing
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Effort
Languages
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and [...]
0
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Follow a Machine Learning Workflow (Coursera)

Apr 26th 2021
Follow a Machine Learning Workflow (Coursera)
Course Auditing
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Effort
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Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine [...]
0
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Apr 26th 2021
Course Auditing
41.00 EUR/month

Artificial Intelligence Privacy and Convenience (Coursera)

Apr 26th 2021
Artificial Intelligence Privacy and Convenience (Coursera)
Course Auditing
Categories
Effort
Languages
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects.
0
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Mathematics for Machine Learning: PCA (Coursera)

This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto [...]
0
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Deep Neural Networks with PyTorch (Coursera)

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression.
0
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Data Pipelines with TensorFlow Data Services (Coursera)

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
0
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Experimental Methods in Systems Biology (Coursera)

Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging. A key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. [...]
8
Average: 8 ( 3 votes )

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written [...]
6
Average: 6 ( 3 votes )