Giannis Tolios’ Post

𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 𝗠𝗟 𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝘁𝗵 𝗬𝗲𝗹𝗹𝗼𝘄𝗯𝗿𝗶𝗰𝗸! 📊💡 Yellowbrick is a Python library that provides helpful visualizations for machine learning models. For example, you can create a confusion matrix for classification models that utilize the scikit-learn API. Furthermore, Yellowbrick can be installed by itself, or used with the PyCaret library that integrates most of its functionality. Have you ever utilized Yellowbrick to visualize machine learning models? You can check the links below for more information, and make sure to follow me for regular data science content! 𝗬𝗲𝗹𝗹𝗼𝘄𝗯𝗿𝗶𝗰𝗸 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝘄𝗲𝗯𝘀𝗶𝘁𝗲: https://lnkd.in/enK2fQ2D 𝗖𝗵𝗲𝗰𝗸 𝗔𝗹𝗽𝗵𝗮𝗦𝗶𝗴𝗻𝗮𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘁𝗼𝗽 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀, 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗽𝗮𝗽𝗲𝗿𝘀: https://bit.ly/3Q8akG4 #datascience #python #deeplearning #machinelearning #linkedin

𝗖𝗿𝗲𝗮𝘁𝗲 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗕𝗼𝗸𝗲𝗵! 📈📊 Bokeh is a powerful Python library that helps you create interactive visualizations. Bokeh plots can be included in Jupyter notebooks, websites, or even saved as standalone HTML files. The library supports numerous visualization types, including scatter, line, bar plots and many more! Furthermore, Bokeh can be utilized to develop amazing web dashboards, making it a valuable tool for data scientists and other professionals. Check the links below for more information, and make sure to follow me for regular data science content! 𝗕𝗼𝗸𝗲𝗵 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝘄𝗲𝗯𝘀𝗶𝘁𝗲: https://bokeh.org/ 𝗖𝗵𝗲𝗰𝗸 𝗔𝗹𝗽𝗵𝗮𝗦𝗶𝗴𝗻𝗮𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘁𝗼𝗽 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀, 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗽𝗮𝗽𝗲𝗿𝘀: https://bit.ly/3Q8akG4 #datascience #python #machinelearning #deeplearning #linkedin 

𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗶𝗻𝗴 𝗘𝗮𝗿𝘁𝗵 𝗗𝗮𝘆! 🌍🌿 Today is Earth Day, an annual event aiming to raise awareness about environmental protection, in dozens of countries across the globe. The current environmental crisis is mostly caused by climate change and biodiversity loss, while also having other aspects. Unfortunately, the rapid economic development of the industrial age and onward, resulted in the significant degradation of the natural environment. Hence, the great challenge of our time is to improve the standard of living for humanity, without undermining the planet. Sustainable development is a commonly used term, without always being accompanied by the appropriate measures to accomplish it. Personally, I have the honor to participate in research projects such as DIAMOND, NDC ASPECTS and IAM COMPACT, which aim to study and formulate effective climate policies, by utilizing integrated assessment models. Moreover, the energy transition is an ambitious goal, that can be achieved by implementing the correct policies. In the photo below, we can see Earth from space, as it was captured by the Apollo 17 crew. By contemplating this image, we may appreciate our planet more deeply, and learn to cherish it as we should! #climatechange #sustainability #earthday #linkedin

𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀!💡📈 In the past years, deep learning has been widely used for time series forecasting, with various new models being introduced, such as LSTM, N-BEATS and TFT. PyTorch Forecasting is a library that provides numerous DL forecasting models, and other tools that will help you get an optimal result. In addition, deep learning forecasting models are sometimes dismissed by data scientists, but it's important to be acquainted with the latest tools, and draw our own conclusions. Check the links below for more information, and make sure to follow me for regular content! 𝗣𝘆𝗧𝗼𝗿𝗰𝗵 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘄𝗲𝗯𝘀𝗶𝘁𝗲: https://lnkd.in/dXRgUrVq 𝗖𝗵𝗲𝗰𝗸 𝗔𝗹𝗽𝗵𝗮𝗦𝗶𝗴𝗻𝗮𝗹 𝗳𝗼𝗿 𝗮 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗿𝗲𝗽𝗼𝘀 𝗮𝗻𝗱 𝗽𝗮𝗽𝗲𝗿𝘀: https://bit.ly/3Q8akG4 #datascience #python #machinelearning #deeplearning #linkedin

𝗔𝗻 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗕𝗼𝗼𝗸 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀! 📊💡 Practical Statistics for Data Scientists is a book covering important statistical concepts, such as exploratory data analysis, sampling distributions and hypothesis testing, with code examples available in Python and R. This amazing book strikes a balance between theoretical concepts and practical examples, while also being friendly to beginners who don't have a quantitative background. You can check the links below for more information, and make sure to follow me for regular data science content! 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 - 𝟮𝗻𝗱 𝗘𝗱𝗶𝘁𝗶𝗼𝗻: https://lnkd.in/d2rptd8F 𝗖𝗵𝗲𝗰𝗸 𝗔𝗹𝗽𝗵𝗮𝗦𝗶𝗴𝗻𝗮𝗹 𝗳𝗼𝗿 𝗮 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗿𝗲𝗽𝗼𝘀 𝗮𝗻𝗱 𝗽𝗮𝗽𝗲𝗿𝘀: https://bit.ly/3Q8akG4 #datascience #python #machinelearning #deeplearning #linkedin

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗦𝗶𝗺𝗽𝘀𝗼𝗻'𝘀 𝗣𝗮𝗿𝗮𝗱𝗼𝘅 🖥️📊 Simpson’s paradox is a statistical phenomenon where the relationship between two variables changes, if the population is divided into subcategories. In the following animation, we can see how the linear relationship between two variables is inversed, when we take into account a third categorical variable. Simpson's paradox highlights the fact that analysts should always be diligent to avoid mistakes. Check the links below for more information, and make sure to follow me for regular data science content! 𝗦𝗶𝗺𝗽𝘀𝗼𝗻'𝘀 𝗣𝗮𝗿𝗮𝗱𝗼𝘅 - 𝗪𝗶𝗸𝗶𝗽𝗲𝗱𝗶𝗮: https://lnkd.in/dUriE_aX 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟 𝗮𝗻𝗱 𝗧𝗦 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝗖𝗮𝗿𝗲𝘁📚: https://lnkd.in/dyByK4F #datascience #python #statistics #machinelearning #linkedin

𝗖𝗿𝗲𝗮𝘁𝗲 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗣𝗹𝗼𝘁𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻! 🖥️📊 Have you ever wanted to create amazing visualizations with Python code? The Python Graph Gallery is a website helping you accomplish that, by offering tutorials for various plot types! Furthermore, clicking on each plot provides a brief description, as well as code examples in Matplotlib, Seaborn, Plotly and other visualization libraries. This website is a valuable guide for beginners, as well as experts creating advanced visualizations with Python. Check the links for more information, and make sure to follow me for regular data science content! 𝗣𝘆𝘁𝗵𝗼𝗻 𝗚𝗿𝗮𝗽𝗵 𝗚𝗮𝗹𝗹𝗲𝗿𝘆 𝘄𝗲𝗯𝘀𝗶𝘁𝗲: https://lnkd.in/dxnGBNa9 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟 𝗮𝗻𝗱 𝗧𝗦 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝗖𝗮𝗿𝗲𝘁📚: https://lnkd.in/dyByK4F #datascience #python #machinelearning #deeplearning #linkedin

𝗧𝗵𝗲 𝗙𝗮𝘀𝗰𝗶𝗻𝗮𝘁𝗶𝗻𝗴 𝗣𝗵𝗲𝗻𝗼𝗺𝗲𝗻𝗼𝗻 𝗼𝗳 𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲! 💡 "The whole is greater than the sum of its parts." This timeless quote by Aristotle, encapsulates the essence of a fascinating phenomenon, that is known as emergence in Systems Science. Emergence is defined as follows: the interactions between a system's parts may result to unpredictable new behavior, that can't be observed on individual entities. In the video below, we can see the movement of a flock of birds (murmuration), commonly used as an example of emergence. Notably, swarm behavior has been modeled mathematically, having many practical applications. There are countless emergent phenomena, from Biology and Physics, to Economics and human societies, making complex systems an important research area. The cause of emergence remains unexplained, but it appears to be a fundamental property of our universe! #science #emergence #datascience #linkedin

I am excited to say that Moez Ali has endorsed my book, Simplifying Machine Learning with PyCaret! Moez is the creator of PyCaret, while also having an impressive background as a developer, educator and content creator in data science. Moez has been extremely helpful and always provided valuable feedback, so I would like to thank him for the support! You can check the link below for more information, and make sure to follow me for regular data science content. 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝗖𝗮𝗿𝗲𝘁: https://lnkd.in/dyByK4F #python #datascience #machinelearning #deeplearning #linkedin

𝗛𝗼𝘄 𝗘𝗰𝗹𝗶𝗽𝘀𝗲𝘀 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝗰𝗲! ☀️ Today around 19:00 UTC, a total solar eclipse will take place, being visible in the USA, Canada and Mexico. Apart from the impressive spectacle, solar eclipses have provided valuable insights to scientific research. A century ago, the british astronomer Arthur Eddington was able to gather empirical evidence for the General Theory of Relativity, which had been introduced a few years earlier by Albert Einstein. Eddington took advantage of the total solar eclipse occurring during that time, to verify whether General Relativity predictions were accurate. According to Eddington's observations, light coming from distant stars deviated from its course, due to the spacetime curvature caused by the Sun. This was a triumph for Einstein, who became an iconic figure of the 20th century, leaving his timeless mark on Physics. Furthermore, this event was monumental for scientific progress, as the limits of classical mechanics established by Newton several centuries before, were surpassed. The combination of scientific theory and experimental validation, fundamentally changed our perception about the universe! #science #physics #eclipse #linkedin