Skillslash

  If you’re a college student looking to find your college thesis topic and have a keen interest in data science, we got you covered. Here we discuss some of the easiest and simple data science topics for your thesis may it be schoolwork, college, or even for an academic publication and so on. Read till the end, and pick your pick out of the options and start off with your research and writing to meet your deadlines on time.   1. EDA (Exploratory Data Analysis) on Social Media Data:   Firstly, we have one of the quickest research based data science thesis paper you can work on with simply looking into the social media apps that you use daily.   ●       Objective: With this project the goal is to understand patterns, trends, and sentiments of people scrolling through social media day in and day out.   ●       Tools: To conduct this research you can make use of the simple to install and use Python (Pandas, Matplotlib or Seaborn).   ●       Methods applied: To get

  Introduction   Chatbots have become an essential part of modern technology, making it easier for people to use different platforms. From customer service to a virtual assistant, chatbots have come a long way in providing quick and easy-to-use solutions. To create a successful chatbot, you need to plan ahead, design it, and get it up and running.   In this guide, we’ll show you how to create a chatbot from start to finish, that is from idea to deployment.   Here are the key steps to ponder about while creating a chatbot :   1. Define Your Objectives   Before you get too deep into the technical stuff, it's important to figure out what your chatbot is all about. Ask yourself:   What's the main goal? Who's your target audience? What kind of issues or issues do you want your chatbot to solve?   Having clear goals will help you design your chatbot and make sure it meets your users' needs and expectations.   2. Choose the Right Platfor

  In today's ever-changing business world, companies are always looking for new ways to stay ahead of the competition. Prescriptive analytics is one of the most innovative tools that have emerged in recent years. It's different from descriptive and predictive analytics because it doesn't just look at past data and predict future trends - it gives you actionable insights and recommends the best ways to use it. In this article, we'll look at what prescriptive analytics is and how it can help you optimize your business.   Understanding the Evolution of Prescriptive Analytics   What is Prescriptive Analysis? Prescriptive analytics is the next generation of data-informed decision-making. It builds on the ideas behind descriptive and predictive analysis.   ( Descriptive analytics was all about understanding historical data to provide a retrospective view of business performance. Predictive analytics was all about predicting future trends using sophisticated s

Investors have been trying to figure out how the stock market works for a long time, trying to figure out why it's so volatile and if there are any patterns that can help them make money. But in recent years, AI has changed the game when it comes to predicting the stock market.   In this article, we'll look at how AI is changing the way we predict the stock market, the challenges that come with it, and how it can help us change our investment strategies.   The Evolution of Stock Market Predictions   In the past, stock market analysis was mainly based on basic and technical research, data from the past, and a bunch of economic indicators. Stock market predictions have changed a lot over the years. Traditionally, people relied on basic analysis, technical info, and historical data to get an idea of what the market was up to. But with financial markets being so complex and influenced by so many different things, investors had to find new ways to predict what was goin

  The Fourth Industrial Revolution brought in great levels of technological advancements and with it came the need to learn new skills and grow constantly to survive and succeed in the competitive workspace. As industries change quickly, the way we work is changing too. This is where the role of “ upskilling” becomes very important for anyone who wants to reach their ultimate career goals. Upskilling is more than just a way to develop your skills - it is a way to stay ahead of the game in the competitive job market that is constantly evolving and changing.   By recognizing how important upskilling is, you can start a lifelong learning process that will not only improve your skills but also change the way you approach your career and success.   This article talks about exactly how upskilling can be a major league game-changer for your personal and professional growth, and what you can do to make the most of it.   The Need for Upskilling in the Modern Workplace   In t