How You Can Use Python and Machine Learning for SEO by Ruth Everett
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The document discusses Hamlet, describing him as an experienced SEO professional who helped and encouraged others in the field. It notes how he had a kind and joyful manner, always learning and sharing his knowledge in order to help people succeed and realize their full potential. The statements express that Hamlet was an inspiration to many in the SEO community and will be missed by family and friends.
How You Can Use Python and Machine Learning for SEO by Ruth Everett
- 2. “Despite having decades of experience he still took the time to follow and encourage people just starting out and even earlier, kicking their impostor syndrome out of the way to help them get started. Any question answered with a smile and encouragement, Hamlet was one of a kind” “He had the perfect hug for any occasion. And joy. Joy for helping another SEO solve a problem. Joy for seeing a friend again. Joy for seeing others succeed.” “Hamlet was a force of nature. An incredibly kind man, always learning, creating, publishing, leading the way & elevating others in the journey.” “An inspiration to me & many, he made ppl realise they were capable of so much more than what they thought they could.” “I never met Hamlet but I greatly respected and looked up to him for the knowledge, kindness and support he brought to the SEO community. He inspired so many and will be very missed. Thoughts are with his family and friends.”
- 10. ● General purpose programming language ● Interpreted line by line ● Object orientated ● Designed to be readable ● Open source ● Interactive
- 11. Code written in the terminal
- 12. Results printed
- 16. 20 week online course Mixture of theory and practical A range of projects to undertake Code console & terminal to play and test
- 17. Wide range of skill tracks Interactive exercises Instant explanations Challenges and projects
- 18. Free mobile app Learn Python on the go Over 200 practice questions Code Playground https://www.sololearn.com/Course/Python/
- 23. Data extraction & analysis Scientific Computing Natural Language Processing Machine Learning
- 25. Data extraction and analysis to solve complex problems Future-proofing your job Efficiency and time-saving Automating repetitive tasks
- 26. Spend 5 hours a week using excel
- 27. Spend 5 hours a week using excel Thats 20 hours a month
- 28. Spend 5 hours a week using excel Thats 20 hours a month Over 200 hours a year
- 29. Imagine what we could achieve if we spent this time on other important tasks (that can’t be automated)
- 32. Make data driven decisions Allowing us to focus on other important optimisation efforts Confidence in recommendations Provide concrete insights Better understand data
- 51. Log File analysis Validate hreflang Identify duplicate URLs Perform competitor analysis Automate page speed audits
- 53. Identify which sections of the site are linked to the most. Does this impact performance? Are there sections we can improve with internal linking?
- 60. https://www.expertsystem.com/machine-learning-definition/ Run a script to train the computer, using a dataset
- 61. https://www.expertsystem.com/machine-learning-definition/ Run a script to train the computer, using a dataset Summarise & Visualise the dataset
- 62. https://www.expertsystem.com/machine-learning-definition/ Run a script to train the computer, using a dataset Summarise & Visualise the dataset Evaluate the algorithms
- 63. https://www.expertsystem.com/machine-learning-definition/ Run a script to train the computer, using a dataset Summarise & Visualise the dataset Evaluate the algorithms Make Predictions