Association of Universities for Research in Astronomy’s Post

🚀 Exciting Update! 📊🔍 Sharing snippets of the exciting tasks I'm working on during my Data Science Internship at Codsoft! 🔹 Titanic Survival Prediction: Taking on the challenge of Titanic Survival Prediction! Leveraging Python to build models that can predicts whether a passenger on the Titanic survived or not.. 📰🕵️♂️🌟 Python-powered solutions in action! Join me on this journey of exploration and discovery. 💻✨ https://lnkd.in/gEb_CPj3 #codsoft #datascience#internship#DataScienceInternship #PythonCoding#PredictiveAnalytics#CodsoftExperience 🎬📈

#TASK-3# 🚀 Excited to Share My Latest Project! 🚀 I'm thrilled to present my recent work on the Titanic Survival Prediction task as part of the Encryptix Data Science Internship. In this video, I dive into the data, explore the features, and build a predictive model to determine the likelihood of survival for passengers aboard the Titanic. This project has been an incredible learning experience, and I'm excited to share my insights and findings with you all. 🔍 Key Highlights: Data cleaning and preprocessing Feature engineering and selection Model building and evaluation Key insights and takeaways Check out the video to see the process and results! 📽️ #DataScience #MachineLearning #TitanicPrediction #Encryptix #PredictiveModeling #DataAnalysis #Python #LinkedInLearning

🌟 Thrilled to share my Third task as an intern at Encryptix in Data Science! 🌟 Task-3 : Using Classic Iris dataset to classify different species of flowers! 🌸🔍 Explored feature engineering, classification algorithms, and model evaluation to accurately classify iris species based on their features. It’s fascinating to see how data can reveal patterns in nature. Check out my work on GitHub: [Encryptix---Data-Science](https://lnkd.in/gSFjRE6q) 🔗 A big thank you to the Encryptix team for this amazing opportunity and their continuous support. Excited for the upcoming challenges! #DataScience #MachineLearning #Internship #Iris #Encryptix #DataAnalysis #Python #Classification

I am thrilled to announce the successful completion of the Coder's Cave Virtual Internship Phase-2 task in Data Science.  My mission? To derive valuable insights from climate data, enabling a better understanding of weather conditions over time. With hands-on experience and a deep dive into real-world data, I navigated through climate data understanding of weather conditions over time. Utilizing Python libraries such as Pandas, NumPy, Seaborn, and Matplotlib, I meticulously analyzed a comprehensive dataset, exploring weather conditions over time. GitHub : https://lnkd.in/gQBmvxhx #coderscave #intern2024 #datascienceinternship #dataanalysis #customerBehaviorAnalysis

Hello Connections!!! I am delighted to announce the successful completion of Task 2 of my Data Science internship at , where I had Bharat Intern the incredible opportunity to work on a project titanic classification we have Build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python. github link:-https://lnkd.in/gtabMcnY #DataScience #InternshipJourney #ImageClassification #bharatintern #DataAnalytics #MachineLearning

🚢🔍 Project Completion: Titanic Data Analysis 🔍🚢 Excited to share the successful completion of my minor project, "Titanic Data Analysis," during my internship at Internzvalley. This endeavor helped me enhance my data analysis and machine learning skills using Python. Here's a glimpse of what I achieved: - 📊 Handled missing values in the dataset using appropriate techniques for data cleaning. - 🧩 Created new features like 'Cabin_known' and 'FamilySize' through feature engineering to boost dataset quality and model performance. - 📈 Utilized pandas, matplotlib, and seaborn for data visualization, showcasing insights like age and fare distributions, along with survival rates based on gender, class, and family size. This project enriched my grasp of data science concepts and allowed me to apply theoretical knowledge in a practical context. Looking forward to leveraging these experiences to further my growth in the data science realm. 🚀 Check out my code here: https://lnkd.in/gVae4CdK

Exciting News!🚀 During my Data Science Internship journey at Innomatics Research Labs , I had an incredible opportunity to dive deep into the world of data science by performing a capstone EDA Project 📊 on AMCAT dataset. This dataset holds an information about candidate's skills, academic backgrounds and test scores. During this EDA project 📈 , I learned more about complex datasets, different python libraries, patterns and trends. Also learned more about visualization through different graphs such as histograms, heatmaps, box plot, scatter plot, bar chart. I Explored various visualization techniques to gain understanding of the data at hand. Moreover, I performed statistical non-visual analysis from the dataset about the salary of candidates. I am grateful to Innomatics Research Labs for providing me with this invaluable opportunity to work more on my skills and making meaningful insights to the field of Data Analysis. Special thanks to my mentor or Kanav Ban sir. #exploratorydataanalysis #python #datavisualization #statistics #storytellingwithdata #datadriveninsights #internshipjourney #innomaticsresearchlabs

🚀 Exciting Update! 📊🔍 Sharing snippets of the exciting tasks I'm working on during my Data Science Internship at Cognorise! 🔹 Fake News Prediction: Taking on the challenge of Fake News Prediction! Leveraging Python to build models that can discern between credible and unreliable sources. 📰🕵️♂️ 🌟 Python-powered solutions in action! Join me on this journey of exploration and discovery. 💻✨ https://lnkd.in/ghR5zpdC #cognoriseinfotech #datascience#internship#DataScienceInternship #PythonCoding #PredictiveAnalytics #CognoriseinfotechExperience 🎬📈

Project 4: Final project completion! Successfully completed my internship at MIRA Advanced Engineering This journey was a combination of hard work, dedication, and learning. 🌐 Python Power: Crafted a dynamic application using Tkinter, fetching real-time location and temperature data through Geopy and a weather API. 🌡️ Integrated Matplotlib for visually appealing graphs, and ensured seamless data management with database integration. A full-stack journey from data retrieval to visualization! Thank you Kamal shah sir, Mandar Gotad sir, MIRA Advanced Engineering Ready to take these experiences into the next chapter of my career! 🎓🌟 🚀 #PythonProgramming #Tkinter #APIIntegration #DataVisualization #DatabaseManagement #ProjectAccomplished #CareerReady