[Code with Mosh] Complete SQL Mastery

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 a few. So, to be a successful developer or data scientist you need to know SQL inside-out. But – SQL […]

[PacktPub] Understanding Regression Techniques [Video]

  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 models Interpret regression results Build linear regression models Build count models Visualize the results About Linear and logistic regressions are […]

[Pluralsight] Interpreting Data Using Statistical Models with Python

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. Course info Level: Beginner Updated: Oct 29, 2019 Duration: 2h 46m Description Data science and data modeling are fast emerging […]

[PacktPub] Mathematics for Data Science and Machine Learning using R [Video]

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 and Machine Learning Learn to implement mathematical concepts using R Master linear algebra, calculus, and vector calculus from the ground […]

[O’REILLY] Python for Data Science Complete Video Course Video Training

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 distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that […]

[UDACITY] Programming for Data Science v1.0.0

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 R track. ESTIMATED TIME 3 Months At 10 hrs/week ENROLL BY May 22, 2019 Get access to classroom immediately on […]

[Coursera] Convolutional Neural Networks

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 learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging […]

[Coursera] Practical Reinforcement Learning

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 neural networks for RL tasks — also known as “the hype train” – state of the art RL algorithms — […]

[Coursera] Natural Language Processing

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 to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. The […]

[Coursera] Introduction to Deep Learning

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 linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all […]

[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers

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 skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a […]

[Coursera] Bayesian Methods for Machine Learning

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. Bayesian methods also allow us to estimate uncertainty in predictions, which is a really desirable feature for fields like medicine. […]

[Coursera] Neural Networks and Deep Learning

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 opportunities. Deep learning is also a new “superpower” that will let you build AI systems that just weren’t possible a […]

[coursera] Machine Learning

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 a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens […]

[coursera] How to Win a Data Science Competition: Learn from Top Kagglers

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 skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a […]

[coursera] Applied Machine Learning in Python

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 how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of […]