Search result for Data analysis and machine learning Online Courses & Certifications
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Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
Approx. 9 hours to complete
Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Accessing and Serving Data through RESTful APIs | Part 1...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. Module 2: Data Consolidation and Analytics 02: Data Consolidation and Analytics Module 3: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Responsive Website Tutorial and Examples
by Dr Matthew Yee-King , Dr Mick Grierson- 4.2
Approx. 24 hours to complete
An interactive data visualisation platform for exploring and plotting big data in exciting ways. • Implement animated data visualisations and graphics using advanced user interface libraries such as vis. Administrating the blog and making it responsive: learning outcomes Creating and serving data Drawing machine example: learning outcomes Creating and serving data: learning outcomes...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot....
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
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. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Preparing your Data for Machine Learning Success Weekly Summary: Preparing your Data for Machine Learning Success...
Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. Artificial Intelligence and Machine Learning, Part I Geron, “Hands-On Machine Learning with Scikit-Learn and TensorFlow”, Chapter 1...
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Intro to Data Analysis
by Caroline Buckey- 0.0
Timeline Approx. 6 Weeks
lesson 2 NumPy and Pandas for 1D Data Start learning to use NumPy and Pandas to make the data analysis process easier. Group your data and to combine data from multiple files. lesson 4 Investigate a Dataset Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets....
Free
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
Approx. 6 hours to complete
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. This is also a standalone course for learners who have basic machine learning knowledge. Machine Learning Flight Simulator Bias and Variance with Mismatched Data Distributions...
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn Then, you will use Python to mine data from its source and analyze available data via statistical and probability analysis techniques by using NumPy and pandas. Nicolas Rangeon is a freelance data scientist. Explore Machine Learning Getting Started with Machine Learning and AI...
$12.99