Data Science Career Track Prep Course
Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge
http://bit.ly/2Xrb4fk
Machine Learning with TensorFlow on Google Cloud Platform
> How Google does Machine Learning > Launching into Machine Learning > Intro to TensorFlow > Feature Engineering
http://bit.ly/2yGzp35
Data Science Career Track Prep Course
Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge
http://bit.ly/2Xrb4fk
Learn Python AI for Image Recognition & Fraud Detection
> Learn TensorFlow and how to build models of linear regression. > Make an image recognition model with CIFAR. > Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe!
http://bit.ly/2T5dOKv
Artificial Intelligence Projects with Python-HandsOn
> Classify text and images according to predefined categories and make use of neural networks, decision trees, random forests for classification > Use popular libraries such as Keras and TensorFlow for reinforcement learning > Use deep reinforcement learning to build an AI that plays arcade games
http://bit.ly/2qmbOQG
Data Science Career Track Prep Course
Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge
http://bit.ly/2Xrb4fk
Big Data Analysis with Scala and Spark
> Getting Started + Spark Basics > Reduction Operations & Distributed Key-Value Pairs > Partitioning and Shuffling > Structured data: SQL, Dataframes, and Datasets
http://bit.ly/2qGqfz9
Applied Statistical Modeling for Data Analysis in R
> Identify which statistical techniques are best suited to their data and questions > Implement different statistical analysis in R and interpret the results > Have a strong foundation in fundamental statistical concepts
http://bit.ly/2OoAqDb
Bayesian Machine Learning in Python: A/B Testing
> Use adaptive algorithms to improve A/B testing performance > Apply Bayesian methods to A/B testing > Understand the difference between Bayesian and frequentist statistics
http://bit.ly/2qndfOZ
Data Engineering, Big Data, and Machine Learning on GCP
> Google Cloud Platform Big Data and Machine Learning Fundamentals > Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform > Serverless Data Analysis with Google BigQuery and Cloud Dataflow > Serverless Machine Learning with Tensorflow on Google Cloud Platform
http://bit.ly/2U1TJJ5
Dream Tai Stock Trading Software
> Is an easy to use Stock trading software that advises you when to BUY/SELL stocks so as to maximize your profits and minimize your risk. > Create multiple watchlists of the stocks you want to track, download daily free end of day price data and get the Buy/ Sell signals after DreamTai scans the watchlists for tradeable signals.
http://bit.ly/2KNtKgA