Nabanita Sinha’s Post

Unlocking the Power of Data Science! 🌟 Data science is more than just numbers—it's an interdisciplinary journey that combines statistics, computing, and domain expertise to uncover hidden insights from both structured and unstructured data. Whether you're in natural sciences, IT, or medicine, the ability to harness data is transforming how we make decisions and innovate. Join me in exploring the nuances of this multifaceted field and the endless possibilities it brings to various industries. Let's leverage data to drive impactful change! #DataScience #Analytics #Innovation

New #SpecialIssue "Application of Machine Learning in Data Science and Computational Intelligence", edited by Dr. Elias Dritsas and Dr. Maria Trigka. Deadline is 31 May 2025. Submissions are welcome until deadline! https://lnkd.in/ghaVD2yv #datascience #machinelearning #artificialintelligence

Ever wish you had a roadmap to the most important research in data science? This collection of papers is a great place to start. From boosting algorithms to the magic of GANs, it's got something for everyone. https://lnkd.in/eWFR-tDV #datascience #machinelearning #deeplearning

Titanic Data Science Solutions Titanic Data Analysis Overview The Titanic dataset provides valuable information about passenger survival, influenced by various factors such as age, passenger class, and gender. The original notebook by Manav Sehgal employed a method where missing age values were imputed based on the passenger's class (e.g., 1st class, 2nd class, etc.). This approach, while useful, might not fully capture the nuanced age distribution associated with specific passenger titles like "Mr," "Mrs," and "Master." Modifications by Khaled Ashraf In my updated notebook, I refined the imputation process by using passenger titles to estimate missing age values. This method reflects more accurate age distributions tied to titles, such as "Mr" for adult males or "Master" for young boys, leading to more precise age imputation. Additionally, while the original analysis relied solely on training scores to evaluate the model's performance, I extended the evaluation to include test scores. This dual approach helps prevent misleading conclusions and ensures a more comprehensive assessment of the model's effectiveness. To further enhance understanding, I visualized the relationships between each feature and the target variable. These visualizations provide clear insights into how features like age, class, and gender influence survival rates, making it easier to interpret the data and model results. Summary Khaled Ashraf’s modifications introduce a more accurate method for age imputation and a thorough evaluation process, along with visual tools to clarify feature-target relationships. These enhancements improve the overall analysis of the Titanic dataset.

Are you in search of data for your upcoming research, Data Science, or Machine Learning project? Explore this curated list of free, open-access, and publicly available datasets covering almost every topic. Salam Ullah Khan #research #data #datasets #datascience #machinelearning #dataanalysis

Hello everyone, Here is a quick glance about Data Science and Artificial intelligence. Topics covered in this video:- 1) What is Data Science ? 2) Role of Data Scientists. 3) What is Artificial intelligence? 4) Type of Artificial intelligence. 5) Benefits of Artificial intelligence. A special thanks to Dr. Purnendu Bikash Acharjee sir Parameswaran Subramanian sir , Father Lijo Thomas

Dear All, Greetings! I am happy to share that I reviewed a paper for Information Fusion - Elsevier journal with a impact factor of 14.7. https://lnkd.in/dk_zHN2k Regards Big Data Machine Learning

Day 2/20 #20daysinDSMLWithAA Data Science is a field that uses scientific, statistics, algorithms, processes, systems, or methods to extract or interpret or analyze useful or valuable information or knowledge from a complex data either to uncover trends to make informed decisions or derive meaningful insights. #AfricaAgility #GITBootCampC7Challenge #GITBootCampCohort #GIT20DayChallenge #AfrifanGirlsinTechBootCamp

Getting into data science in 2024 requires a combination of (formal) education, skills, hands-on experience, and networking. Of course, market trends affect these components. Like any other industry, timing matters, i.e., industry cycles can make entering DS easier or much harder. In addition, the sector is significantly disrupted by technological changes – most notably, the emergence of ML/AI tools. This video provides a step-by-step guide to help you get started. https://lnkd.in/erDFsAwg #datascience

Data scientists play an essential role in today's data-driven world. They are the architects of insights, transforming raw data into meaningful information that drives strategic decisions and innovation. Learn how data scientists leverage their expertise in statistics, machine learning, and domain knowledge, to uncover hidden patterns and trends that can lead to competitive advantages. https://brnw.ch/21wKBSf   Subhashis Manna   #Data #DataandAnalytics #DataScientist #dGTL