By Keith Thompson Learn how to build GUI applications using Python. About the course Sometimes building a command-line or web application doesn’t quite meet your end-users’ needs, and you need to build an …
Tag: Data Science
-:SeaBorn Courses:- Introduction to Data Visualization with Seaborn Course Description: Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course provides an introduction to Seaborn and …
Abdelmoula Khdoudi, Engineer & Phd About This Class Are you thinking to master PyQt5 for Graphical User Interface Development ? Do you write some codes in Python and you wonder how you can convert …
David Keellings, Professor & Researcher About This Class This class is designed to introduce core programming principles as we work through real world analyses and build your knowledge and capabilities as we progress. No …
Naresh Shewakramani, Test Automation Architect About This Class This course is designed to be a comprehensive approach to Git, which means no prior knowledge or experience is required but students will emerge at the …
Yassin Marco 29 Lessons (5h 7m) About This Class Programming can sometimes be very hard to learn espescially if you have no experience in this field. But, this course have everythinh that you need …
Master the SQL statements that every software developer or data analyst needs for designing, developing and maintaining databases Big databases are everywhere these days. Facebook, Netflix, Uber, Airbnb use SQL-driven databases - to name just …
March 24, 2020 7 hours 10 minutes Explore the fundamentals of linear regression, logistic regression, and count model regression in an intuitive and non-mathematical way Learn Understand the concept of regression Build logistic regression …
By Janani Ravi This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables. …
Eduonix Learning Solutions September 27, 2019 11 hours 57 minutes Learn the basic math for Data Science, AI, and ML using R More Information Learn Master the basic math concepts you need for data science …
by Kennedy Behrman, Noah Gift Publisher: Addison-Wesley Professional Release Date: April 2019 ISBN: 9780135687253 Video Description 9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a …
NANODEGREE PROGRAM--nd104 Programming for Data Science Prepare for a data science career by learning the fundamental data programming tools: Python or R, SQL, command line, and git. Choose to enroll in either the Python or …
This course is part of the Deep Learning Specialization Convolutional Neural Networks About this Course This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep …
About this course: Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep …
About this course: This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able …
About this course: The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of …
About this course: If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling …
About this course: Bayesian methods are used in lots of fields: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. …
About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career …
About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and …
About this course: If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling …
About this course: 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 …