1stepGrow Academy

Adobe announced project perfect blend! Using #Ai technology this adobe project blend generate color, lighting, and shadow behind the readjust for image composition. Photos of humans can be added to another photo and fit together so the color and lighting matches the target photo. 👉 Passionate about data science and AI? Turn your passion into expertise at 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more technology updates. #1stepGrow #ProjectPerfectBlend #Technology #Innovation

How Would You Manage Columns in a Pandas DataFrame?" Learn how to work with DataFrame columns using Pandas with the help of our cheat sheet. What You Will Learn: - How to get column indexes and labels in a DataFrame. - How to change column labels in a DataFrame. - How to select columns in a DataFrame. - How to select columns using Pandas attributes. - How to add new columns to a DataFrame. - How to swap column contents and change the column order. - How to drop columns from a DataFrame. These tips will help you manage columns in a Pandas DataFrame. Are you ready to gain practical skills with Pandas DataFrames? 👉 Check out our course: https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more updates on Data Science, Machine Learning, and AI. #1stepGrow #DataScience #PandasDataFrame #DataAnalysis #DataAnalyst

How Do You Handle Outliers in Data Analysis? 🤔📊 Outliers are data points that stand out because they are much different from the rest. These unusual values can affect the accuracy of your analysis and may lead to misleading results. It’s important to identify and handle them carefully to get better insights. 𝐈𝐧 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐍𝐮𝐦𝐩𝐲 𝐨𝐟𝐟𝐞𝐫𝐬 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐰𝐚𝐲𝐬 𝐭𝐨 𝐝𝐞𝐚𝐥 𝐰𝐢𝐭𝐡 𝐨𝐮𝐭𝐥𝐢𝐞𝐫𝐬, 𝐬𝐮𝐜𝐡 𝐚𝐬: 𝐑𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐎𝐮𝐭𝐥𝐢𝐞𝐫𝐬: Filter out values beyond a certain range. 𝐑𝐞𝐩𝐥𝐚𝐜𝐢𝐧𝐠 𝐎𝐮𝐭𝐥𝐢𝐞𝐫𝐬: Use the mean or median to replace unusual values. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐃𝐚𝐭𝐚: Apply mathematical functions to reduce the impact of outliers. What's your go-to method? Share your approach below! Are you ready to get real time skill on outliers in data analysis! Check our course at👉 https://lnkd.in/dZte5GdH! 📌 Follow 1stepGrow Academy for more insights on Data Science & Ai. #1stepGrow #DataAnalysis #DataScience #Pandas #Python

Ever thought of making a paper plane with a little help from tech? Now you can, thanks to AR and #SnapSpectacles! These smart glasses let you see and interact with digital objects in the real world. It's like magic in front of your eyes! Try folding a paper plane step by step with guided AR visuals, and watch it fly with a virtual touch. Great for fun, learning, or even just showing off your cool tech skills! 𝐖𝐡𝐚𝐭 𝐀𝐫𝐞 𝐒𝐧𝐚𝐩’𝐬 𝐒𝐩𝐞𝐜𝐭𝐚𝐜𝐥𝐞𝐬? Snap's Spectacles are smart glasses that show digital images and effects right in front of you. They make it possible to see and interact with Augmented Reality (AR) in the real world. 👉 Ready to learn AI and get skilled in real time! Check our course at 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more insights on Data Science, Machine Learning, and AI. #1stepGrow #AugmentedReality #VirtualReality #TechInnovation #CreativeLearning

Are You Ready to Explore Your DataFrame? Discover the Basics of Viewing Contents! 🔹 𝐏𝐞𝐞𝐤 𝐚𝐭 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐜𝐨𝐧𝐭𝐞𝐧𝐭𝐬: Learn how to create a table in a data frame, showing all column names, variable types and the first values (as many as fit into the screen). 🔹 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐧𝐨𝐧-𝐢𝐧𝐝𝐞𝐱𝐢𝐧𝐠 𝐚𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬: Understand what are the attributes in python pandas and how they fetch the data or information related to the DataFrame. 🔹 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐮𝐭𝐢𝐥𝐢𝐭𝐲 𝐦𝐞𝐭𝐡𝐨𝐝𝐬: Learn the methods to ways to check patterns in missing data. 🔹 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐢𝐭𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐞𝐭𝐡𝐨𝐝𝐬: Understand how to generate an iterator object of the dataframe allowing you each column of the dataframe. 🔹 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐟𝐢𝐥𝐭𝐞𝐫/𝐬𝐞𝐥𝐞𝐜𝐭 𝐫𝐨𝐰𝐬 𝐨𝐫 𝐜𝐨𝐥𝐬 𝐨𝐧 𝐥𝐚𝐛𝐞𝐥 𝐢𝐧𝐟𝐨: Learn how to filter rows and columns in dataframe 👉 Are you ready to get real-time skills on python pandas DataFrame! 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more insights on Data Science, Machine Learning, and AI. #1stepGrow #PandasDataFrame #Python #DataScience #DataAnalysis

What is the preferred software for SARIMA analysis? SARIMA stands for Seasonal Autoregressive Integrated Moving Average and it's a technique for time series analysis and for forecasting possible future values of a time series. Time series analysis is critical for businesses to predict future outcomes, asses past performances, or identify underlying patterns and trends in various metrics Are you ready to get real time skill on SARIMA analysis! Check our course at👉 https://lnkd.in/dZte5GdH! 📌 Follow 1stepGrow Academy for more insights on Data Science & Ai. #1stepGrow #SARIMAanalysis #Python #DataScience #DataAnalysis

Talking Through Dreams Is Now Real – The Future of Communication Just Got Dreamy! Researchers at REMspace Inc. made history with the first chat through clear dreams! Two people shared a message while dreaming using special tools to track brain waves and decode the dream language. This could change how we connect and talk in the future. 🔍 How It Worked: They tracked the people’s brain waves during REM sleep. The first person got a "dream word" sent to them. The message was then shared with the second person in their dream. While AI wasn't directly used in this experiment, it could play a big role in the future to improve dream decoding and make real-time chat in dreams possible. Founder Michael Raduga says this could change communication forever. Source: Online 📌Follow 1stepGrow Academy for more technology updates. 👉 Passionate about data science and AI? Turn your passion into expertise at 👉 https://lnkd.in/dZte5GdH #1stepGrow #DreamChat #ClearDreams #NewIdeas #FutureChat #AI

Do You Know How to Save Your DataFrame Using #Pandas? Learn how to save your DataFrame in different ways! This cheat sheet will help you: 🔹 𝐒𝐚𝐯𝐢𝐧𝐠 𝐚 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐭𝐨 𝐚 𝐂𝐒𝐕 𝐟𝐢𝐥𝐞: Easily save your DataFrame to a CSV file using df.to_csv('name.csv', encoding='utf-8'). 🔹 𝐒𝐚𝐯𝐢𝐧𝐠 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞𝐬 𝐭𝐨 𝐚𝐧 𝐄𝐱𝐜𝐞𝐥 𝐖𝐨𝐫𝐤𝐛𝐨𝐨𝐤: Export your DataFrame to an Excel file with the to_excel() function and an ExcelWriter object to save it as 'filename.xlsx'. 🔹 𝐒𝐚𝐯𝐢𝐧𝐠 𝐚 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐭𝐨 𝐌𝐲𝐒𝐐𝐋: Connect your DataFrame to a database like an expert and store your data efficiently. 🔹 𝐒𝐚𝐯𝐢𝐧𝐠 𝐚 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐭𝐨 𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐲: Turn your data into a dictionary format for easy access and manipulation. 🔹 𝐒𝐚𝐯𝐢𝐧𝐠 𝐚 𝐃𝐚𝐭𝐚𝐅𝐫𝐚𝐦𝐞 𝐭𝐨 𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐬𝐭𝐫𝐢𝐧𝐠: Store your DataFrame as a string for quick use in your Python projects. Are you ready to gain real-time skills in saving DataFrames? Check out our course at 👉 https://lnkd.in/dZte5GdH! 📌 Follow 1stepGrow Academy for more updates on Data Science & AI. #1stepGrow #DataManipulation #DataScience #DataAnalysis

What is the Best Data Visualization Library in Python for Interactive Visuals? Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion. In Python, some libraries are commonly used for creating interactive visualizations because they offer simple ways to build visual content that users can engage with, such as zooming in, filtering, or clicking on data points. Are you ready to get skilled on data visualization tools in real time! Check our course at 👉 https://lnkd.in/dZte5GdH! 📌 Follow 1stepGrow Academy for more insights on Data Science & Ai. #1stepGrow #DataVisualization #Python #DataScience #MachineLearning

Is it possible to know a person’s details just by looking at their faces? Using a combination of advanced technology such as Meta’s Ray-Ban smart glasses and large language models (LLMs), Two Harvard students, Alex and Angel, have created smart glasses that can identify who they are is just by looking at them! How does I-XRAY work? First, the user wears Meta’s smart glasses and live streams a video of their surroundings to their Instagram handle. This Instagram live stream is analysed by a computer programme to identify people’s faces. Their photos are then processed using facial recognition models such as PimEyes and FaceCheck.id to match the faces with URLs or images available across the internet. 📌Follow 1stepGrow Academy for more such technology updates. 👉 Passionate about data science and AI? Turn your passion into expertise at 👉 https://lnkd.in/dZte5GdH #1stepGrow #Harvard #CoolTech #AI #SmartGlasses #Technology