";s:4:"text";s:13304:"The machine learning algorithms taught in this course include: The Bootcamp also includes other algorithms, like K-Means Clustering, big data and Spark with Python, principal component analysis, and recommender systems. With 22.5 hours of video lectures, Jose Portilla guides learners through a Python crash course, an overview of data analysis libraries, an overview of data visualization libraries, and machine learning algorithms. So, I’m in a good position to give you a preview of the course. Some of the companies he’s worked with include General Electric, Cigna, The New York Times, and Credit Suisse. Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! Review -Python for Data Science and Machine Learning Bootcamp- from Udemy on Courseroot. The structure of the course is quite easy to follow. Jupyter NoteBooks are used to share the code and provide a playground for students to write and execute code. I decided that the best way to achieve this was by working through online courses and independent side-projects in parallel. As things can move a bit slow sometimes, I suggest kicking up to 1.25x speed. To make things easier, Jose Portilla decided to use Jupyter Notebooks to share all the codes. Some of the visualization libraries covered in this course include Matplotlib, Seaborn, Pandas Built-in Data Visualization, Plotly, Cufflinks, and Geographical Plotting. Price: $194.99 (See the Udemy Coupon Deals below for the best price) Platform: Udemy Author: Jose Portilla Course Type: Self Paced Online Course. Students work between five and 15 hours a week, depending on their previous experience. There are thousands of materials and tutorials available. I took this course and have completed approximately 40% of the course. More Details. Python for Data Science and Machine Learning Bootcamp Review "Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!" Data Science allows us to solve some of the world’s most unusual problems, like traffic and earthquake predictions. The data-science and machine-learning offering from this long-running bootcamp provider kicks off with a module devoted to Python fundamentals. Last updated 10/2018. Lots of it. It is very well-detailed, with a lot of support to ensure you come out of it well-equipped to start working on machine learning and data science problems. Python for Data Science and Machine Learning Bootcamp from Udemy use Python to data visualization, machine learning algorithms, Spark, Big Data analysis [THE BIG DEAL] Save INR 7000 ($120) on Certified Computer Vision Master's Program | Limited Period Offer They were about the perfect length and usually fairly concise, though I recommend watching on at least 1.25x speed since things can move a bit slow sometimes. The reason is simple. Jose PortillaJose Portilla has quite a background in Data Science. Less process-driven and more of a very detailed intro to Python. Lifetime Access. Simply going through this course won’t make you a kick-ass data scientist or machine learning engineer. Be sure to get familiar with the platform beforehand. Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! 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