Complete 2020 Data Science Machine Learning Bootcamp

What you'll learnYou will learn how to program using Python through practical projectsUse data science algorithms to analyse data in real life projects such as spam classification and image recognitionBuild a portfolio of data science projects to apply for jobs in the industryUnderstand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many moreCreate your own neural networks and understand how to use them to perform deep learningRequirementsNo programming experience needed! I'll teach you everything you need to know.No statistics knowledge required! I'll teach you everything you need to know.No calculus knowledge required! as long as you've done some high school maths, I'll take you step by step through the difficult parts.Also, no paid software required - all projects use free and open source softwareAll you need is Mac or PC computer with access to the internetIn the curriculum, we cover a large number of important data science and machine learning topics, such as:Data Cleaning and Pre-ProcessingData Exploration and VisualisationLinear RegressionMultivariable RegressionOptimisation Algorithms and Gradient DescentNaive Bayes ClassificationDescriptive Statistics and Probability TheoryNeural Networks and Deep LearningModel Evaluation and AnalysisThroughout the course, we cover all the tools used by data scientists and machine learning experts, including:Python 3TensorflowPandasNumpyScikit LearnKerasMatplotlibSeabornSciPySymPyBy the end of this course, you will be fluently programming in Python and be ready to tackle any data science project. We'll be covering all of these Python programming concepts:Data Types and VariablesString ManipulationFunctionsObjectsLists, Tuples and DictionariesLoops and IteratorsConditionals and Control FlowGenerator FunctionsContext Managers and Name ScopingError Handling