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Complete 2019 Data Science & Machine Learning Bootcamp

Complete 2019 Data Science & Machine Learning Bootcamp

> Use data science algorithms to analyse data in real life projects such as spam classification and image recognition > Understand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many more > Create your own neural networks and understand how to use them to perform deep learning

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Applied Data Science with Python

Applied Data Science with Python

> Applied Plotting, Charting & Data Representation in Python > Applied Machine Learning in Python > Applied Text Mining in Python > Applied Social Network Analysis in Python

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Python for Everybody

Python for Everybody

> Python Data Structures > Using Python to Access Web Data > Using Databases with Python

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Deep Learning in R

Deep Learning in R

> Master The Theory Of Artificial Neural Networks (ANN) > Learn The Implementation Of Both ANN & DNN Using The H2o Package Of R Programming Language > Implement ANN For Classification & Regression Problems In R

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Data Science Career Track Prep Course

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

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Big Data Analysis with Scala and Spark

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

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Advanced Machine Learning

Advanced Machine Learning

> Introduction to Deep Learning > How to Win a Data Science Competition: Learn from Top Kagglers > Bayesian Methods for Machine Learning > Practical Reinforcement Learning > Deep Learning in Computer Vision > Natural Language Processing > Addressing Large Hadron Collider Challenges by Machine Learning

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