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data-scraping-crawling-for-beginners-to-data-analysis

If we work in data science or a related field, we probably have heard this quote before: “Data is The New Oil.” The quote goes back to 2006, and is credited to Mathematician Clive Humby, but has recently picked up more steam after the Economist published a 2017 report titled “The world’s most valuable resource is no longer oil, but data”. Mengapa data begitu pentingnya bagi kita? Karena dengan data, kita dapat melihat berbagai tren, memprediksi suatu fenomena di masa mendatang dan bahkan sebagai pertimbangan dalam mengambil keputusan. Istilah scraping merupakan salah satu cara yang terkenal dalam mengambil dan menggali suatu data. Web scrapping adalah proses mengekstrak data dari sebuah situs web. Dengan menguasai teknik tersebut, mengumpulkan data bukan lagi menjadi kendala yang sulit bagi kita. Melihat peluang tersebut, DQLab x Digital Talent Scholarship Kominfo memberikan pelatihan tentang Web Scraping dan Wrangling dalam silabusnya. Terakhir, saya ucapkan terimakasih atas kesempatan dan kepercayaan yang diberikan oleh DQLab x DTS pada saya untuk menjadi pemateri pada tema pelatihan Data Scraping & Crawling For Beginners To Data Analysis dalam rangkaian pelatihan Thematic Academy.

hotel-booking-prediction

The Hotel Booking Prediction project will explain the workflow for assessing someone, whether to cancel the booking or not. This assessment is based on a machine learning algorithm, which will provide predictions to the customer who makes a booking, then from the data provided it will be predicted about the cancellation. This project also contains various analyzes obtained through EDA and provides various insights on hotels to develop their business more effectively.

loaneligibilityprediction

The Loan Eligibility Prediction project will explain the workflow for assessing someone, whether or not a person is eligible for a loan using a machine learning model. The purpose of making this prediction is to help the lender determine whether a person is eligible or not given a loan

predictive-analytics-for-e-commerce

pytorch-mnist-sample

This is pytorch sample to train, eval, and testing CNN based model for MNIST Digit dataset

pytorch-mnist-sample-1

This is pytorch sample to train, eval, and testing CNN based model for MNIST Digit dataset

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

unemployee-rate-and-data-science-skill-demand