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Learn how to execute web scraping on Twitter using the snsscrape Python library and store scraped data automatically in database by using HarperDB. → Read More
How to Speed up Model Training with Snapml | Geek Culture Notifications ](/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fme%2Fnotifications&source=--------------------------notifications_sidenav-----------)[ Lists ](/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fme%2Flists&source=--------------------------lists_sidenav-----------)[ Stories… → Read More
No-Code tools for collecting data for your Data Science project → Read More
A cloud migration strategy is a plan a company can adopt to move some or all data and systems into the cloud. → Read More
Cloud has introduced some new business capabilities through cost-effectiveness or accessibility, as a company you don't want to miss the opportunity. → Read More
Machine learning models are usually developed in a training environment (online or offline). And you can then deploy them and use them with live data. → Read More
Scikit-learn is the most popular open-source and free python machine learning library for Data scientists and Machine learning practitioners. The scikit-learn library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction. → Read More
Web apps are still useful tools for data scientists to present their data science projects to the users. Since we may not have web development skills, we can use open-source python libraries like Streamlit to easily develop web apps in a short time. → Read More
Data science projects are focusing on solving social or business problems by using data. Solving data science projects can be a very challenging task for beginners in this field. You will need to have a different skills set depending on the type of data problem you want to solve. → Read More
Google Trends website provides analysis of different search results on Google Search based on various criteria such as regions, time and language. As a developer, you can use Google Trends API in python to get the same results as presented on the Google Trends website via Pytrends. → Read More
Swahili (also known as Kiswahili) is one of the most spoken languages in Africa. It is spoken by 100–150 million people across East Africa. Swahili is popularly used as a second language by people across the African continent and taught in schools and universities. In Tanzania, it is one of two national languages (the other is English). → Read More
Dummy data is randomly generated data that can be substituted for live data. Whether you are a Developer, Software Engineer, or Data Scientist, sometimes you need dummy data to test what you have built, it can be a web app, mobile app, or machine learning model. → Read More
Semi-supervised learning is the type of machine learning that is not commonly talked about by data science and machine learning practitioners but still has a very important role to play. → Read More
Pycaret is an open-source, low code library in python that aims to automate the development of machine learning models. → Read More
Data augmentation is a technique used by practitioners to increase the data by creating modified data from the existing data. → Read More
Feature Selection in python is the process where you automatically or manually select the features in the dataset that contribute most to your prediction. → Read More
A python substring is a sequence of characters within a string, in this article you will learn various operations related to them and how to use them. → Read More
Learn how to build an NLP model and deploy it with a fast web framework for building APIs called FastAPI. → Read More
Learn how to build an NLP model and deploy it with a fast web framework for building APIs called FastAPI. → Read More
A list of African language datasets from across the web that can be used in numerous NLP tasks. → Read More