#Datascientist

[scientificworldresearch]

A comprehensive understanding of the dynamics of ecosystem services (ESs) and their relationships with new-type urbanization is crucial for promoting sustainable development, particularly in rapidly urbanizing areas.

Scientific World Research Awards Visit our page : https://scientificworld.net/ Nominations page : https://scientificworld.net/award-nominati...

Get Connects Here ====================

You tube: https://www.youtube.com/channel/UC3VJAhOE-70w4G7Qi7AqoZA Instagram : https://www.instagram.com/swr_awards/ Blogger : http://scientificworldresearch.blogspot.com/ Linked In: https://www.linkedin.com/in/scientific-world-8a3327368/ Tumblr: https://www.tumblr.com/blog/scientificworl... Twitter : https://x.com/SWR_Awards

[d0nutzgg]

Predicting Alzheimer's With Machine Learning

Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. Early diagnosis is crucial for managing the disease and potentially slowing its progression. My interest in this area is deeply personal. My great grandmother, Bonnie, passed away from Alzheimer's in 2000, and my grandmother, Jonette, who is Bonnie's daughter, is currently exhibiting symptoms of the disease. This personal connection has motivated me to apply my skills as a data scientist to contribute to the ongoing research in Alzheimer's disease.

Model Creation

The first step in creating the model was to identify relevant features that could potentially influence the onset of Alzheimer's disease. After careful consideration, I chose the following features: Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Socioeconomic Status (SES), and Normalized Whole Brain Volume (nWBV).

MMSE: This is a commonly used test for cognitive function and mental status. Lower scores on the MMSE can indicate severe cognitive impairment, a common symptom of Alzheimer's.

CDR: This is a numeric scale used to quantify the severity of symptoms of dementia. A higher CDR score can indicate more severe dementia.

SES: Socioeconomic status has been found to influence health outcomes, including cognitive function and dementia.

nWBV: This represents the volume of the brain, adjusted for head size. A decrease in nWBV can be indicative of brain atrophy, a common symptom of Alzheimer's.

After selecting these features, I used a combination of Logistic Regression and Random Forest Classifier models in a Stacking Classifier to predict the onset of Alzheimer's disease. The model was trained on a dataset with these selected features and then tested on a separate dataset to evaluate its performance.

Model Performance

To validate the model's performance, I used a ROC curve plot (below), as well as a cross-validation accuracy scoring mechanism.

The ROC curve (Receiver Operating Characteristic curve) is a plot that illustrates the diagnostic ability of a model as its discrimination threshold is varied. It is great for visualizing the accuracy of binary classification models. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings.

The area under the ROC curve, often referred to as the AUC (Area Under the Curve), provides a measure of the model's ability to distinguish between positive and negative classes. The AUC can be interpreted as the probability that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one.

The AUC value ranges from 0 to 1. An AUC of 0.5 suggests no discrimination (i.e., the model has no ability to distinguish between positive and negative classes), 1 represents perfect discrimination (i.e., the model has perfect ability to distinguish between positive and negative classes), and 0 represents total misclassification.

The model's score of an AUC of 0.98 is excellent. It suggests that the model has a very high ability to distinguish between positive and negative classes.

The model also performed extremely well in another test, which showed the model has a final cross-validation score of 0.953. This high score indicates that the model was able to accurately predict the onset of Alzheimer's disease based on the selected features.

However, it's important to note that while this model can be a useful tool for predicting Alzheimer's disease, it should not be the sole basis for a diagnosis. Doctors should consider all aspects of diagnostic information when making a diagnosis.

Conclusion

The development and application of machine learning models like this one are revolutionizing the medical field. They offer the potential for early diagnosis of neurodegenerative diseases like Alzheimer's, which can significantly improve patient outcomes. However, these models are tools to assist healthcare professionals, not replace them. The human element in medicine, including a comprehensive understanding of the patient's health history and symptoms, remains crucial.

Despite the challenges, the potential of machine learning models in improving early diagnosis leaves me and my family hopeful. As we continue to advance in technology and research, we move closer to a world where diseases like Alzheimer's can be effectively managed, and hopefully, one day, cured.

[scopethings-blog]

Scope Computers

🚀 Become a Data Science Expert – From Basics to Breakthroughs! Step into one of the most in-demand careers of the 21st century with our cutting-edge Data Science Course. Whether you're starting fresh or upskilling, this course is your gateway to mastering data analysis, machine learning, and AI-powered insights.

🔍 What You’ll Learn:

Programming with Python – from zero to hero

Data wrangling & visualization with Pandas, Matplotlib, and Seaborn

Machine Learning algorithms with Scikit-learn

Deep Learning with TensorFlow & Keras

Real-world projects & case studies from finance, healthcare, and e-commerce

Tools like Power BI, SQL, and more

🎯 Why This Course Stands Out: ✔ Beginner-friendly with step-by-step guidance ✔ Taught by experienced data scientists ✔ Project-based learning to build your portfolio ✔ Interview prep, resume building, and placement assistance ✔ Recognized certification upon completion

💼 Whether you aim to become a Data Analyst, Data Scientist, or AI Developer, this course equips you with the practical skills and confidence to succeed in today’s data-driven world.

✨ Start your journey today—no prior coding experience needed!

[fraoula1]

Python for Data Science: From Beginner to Expert – A Complete Guide!

Python has become the go-to language for data science, thanks to its flexibility, powerful libraries, and strong community support. In this video, we’ll explore why Python is the best choice for data scientists and how you can master it—from setting up your environment to advanced machine learning techniques.

🔹 What You'll Learn:

✅ Why Python is essential for data science

✅ Setting up Python and key libraries (NumPy, Pandas, Matplotlib) ✅ Data wrangling, visualization, and transformation

✅ Building machine learning models with Scikit-learn

✅ Best practices to enhance your data science workflow 🚀 Whether you're a beginner or looking to refine your skills, this guide will help you level up in data science with Python. 📌 Don’t forget to like, subscribe, and hit the notification bell for more data science and Python content!

[grey-space-computing]

Deliver personalized user experiences with machine learning in your app. Understand your users better and give them exactly what they need. 🔗Learn more: https://greyspacecomputing.com/custom-mobile-application-development-services/  📧 Visit: https://greyspacecomputing.com/portfolio

[cellbiologist]

Molecular Biology

"Molecular biologists unravel the complexities of life at the most fundamental level, studying the structure and function of molecules that make up cells. Their work advances our understanding of genetics, protein interactions, and cellular processes, driving breakthroughs in medicine, biotechnology, and environmental science. Through cutting-edge research, molecular biologists are at the forefront of discovering the molecular mechanisms that govern life, contributing to innovations that shape the future of science and healthcare."

[courseswebs]

Top Data Science Courses With Certificate ⬇️

1-IBM Data Science Professional Certificate

https://imp.i384100.net/YgYndj

2-Google Data Analytics Professional Certificate

https://imp.i384100.net/x9jAxk

3-Google Data Analytics Professional Certificate

https://imp.i384100.net/x9jAxk

4-Introduction to Data Science Specialization

https://imp.i384100.net/Ryqyry

5-Applied Data Science with Python Specialization

https://imp.i384100.net/GjkEPn

6-Google Advanced Data Analytics Professional Certificate

https://imp.i384100.net/1r5E3B

7-What is Data Science?

https://imp.i384100.net/JzmRaN

8-Data Science Specialization

https://imp.i384100.net/BX9BmB

9-Python for Data Science, AI & Development

https://imp.i384100.net/g1ARWv

10-Foundations of Data Science

https://imp.i384100.net/nL2Wza

11-IBM Data Analyst Professional Certificate

https://imp.i384100.net/jWGKxa

12-Machine Learning Specialization

https://imp.i384100.net/k0gLAV

[excelworld]

[thebattlefordatasupremacy]

Data Engineer vs. Data Scientist The Battle for Data Supremacy

In the rapidly evolving landscape of technology, two professions have emerged as the architects of the data-driven world: Data Engineers and Data Scientists. In this comparative study, we will dive deep into the worlds of these two roles, exploring their unique responsibilities, salary prospects, and essential skills that make them indispensable in the realm of Big Data and Artificial Intelligence.

The world of data is boundless, and the roles of Data Engineers and Data Scientists are indispensable in harnessing its true potential. Whether you are a visionary Data Engineer or a curious Data Scientist, your journey into the realm of Big Data and AI is filled with infinite possibilities. Enroll in the School of Core AI’s Data Science course to day and embrace the future of technology with open arms.

[techblog-365]

WHAT IS THE PURPOSE OF DATA SCIENCE?

Data Science's main aim is to identify trends inside data. In order to Analyze and draw lessons from the results, it utilizes different statistical techniques. A Data Scientist should carefully scrutinize the information from data acquisition, wrangling and pre-processing. Then, from the details, he has the duty to make predictions. To read more visit: https://www.rangtech.com/blog/data-science/what-is-the-purpose-of-data-science

[scientificworldresearch]

Microbes Help Plants Beat the Shade

Shade avoidance responses are defined as the plastic responses of plants to neighboring shading signals through changes in the light spectrum, which limit planting density in modern agricultural practices.

Scientific World Research Awards Visit our page : https://scientificworld.net/ Nominations page : https://scientificworld.net/award-nomination/?ecategory=Awards&rcategory=Awardee

Get Connects Here ====================

You tube: https://www.youtube.com/@Scientificresearch-04 Instagram : https://www.instagram.com/swr_awards/ Blogger : http://scientificworldresearch.blogspot.com/ Linked In: https://www.linkedin.com/feed/ Tumblr: https://www.tumblr.com/blog/scientificworldresearch Twitter : https://x.com/SWR_Awards

[adiladedesign]

Web Developer Business Card

[scopethings-blog]

Scope Computers

Unlock Your Future with Data Science!

Master data analysis, visualization 📊, and machine learning 🤖 with hands-on training and real-world projects 🚀. Gain in-demand skills to access high-paying careers 💼 and solve complex problems using data-driven insights. Start today and lead the digital revolution! 🌟

[naturalscientist]

Deep Learning: Future Streamflow & Climate  #sciencefather #climate #scientist

Deep learning is transforming our understanding of how streamflow patterns 🌊 will evolve in response to climate change 🌍. By analyzing vast datasets 📊 and uncovering complex, non-linear relationships 🔍, deep learning models can accurately predict future streamflow characteristics such as volume, timing, and variability ⏳. These predictions help us understand the climate sensitivity of river systems—how even small changes in temperature 🌡️ or precipitation ☔ can dramatically alter water availability. With this insight, researchers and policymakers can better prepare for shifts in water resources 💧, supporting sustainable management and adaptation strategies 🛠️ in the face of an uncertain climate future. 

Natural Scientist Awards 

Nomination Link: https://naturalscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee 

Visit Our Website 🌐naturalscientist.org 

Contact us support@naturalscientist.org 

Get Connected Here: 

LinkedIn: https://www.linkedin.com/in/natural-scientist-466a56357/ 

Blogger: https://naturalaward.blogspot.com/ 

Instagram: https://www.instagram.com/natural_scientist/ 

Pinterest: https://in.pinterest.com/research2805/_profile/ 

Youtube: https://www.youtube.com/@NaturalScientistAwards 

Facebook: https://www.facebook.com/profile.php?id=61574191899176

[faceprep]

Secure Your Future: Best Job-Oriented Degree Programs for 2025

In today’s fast-evolving job market, choosing the right degree is crucial. With industries like IT, AI, Cloud Computing, Cybersecurity, Data Science, FinTech, and Digital Marketing booming, students must opt for programs offering both strong theoretical foundations and real-world training.

Why Choose Job-Oriented Degree Programs? A traditional degree alone isn’t enough today. Job-oriented programs offer:

Industry-relevant curriculum

Internships and live projects

100% placement assistance

High salary packages

Global career opportunities

Top IT Degree Programs (2025)

1. BSc (Computer Science) with AI & ML Learn machine learning, deep learning, NLP, and data science. Careers: AI Engineer, Data Scientist, Business Intelligence Analyst.

2. BCA with AI & ML Focus on software development, AI applications, and cloud computing. Careers: AI Developer, Cloud Engineer, Cybersecurity Analyst.

3. MCA with AI & ML Advance your IT career with expertise in AI-based software and cloud solutions. Careers: AI Architect, Data Science Manager, Software Manager.

4. BBA with Digital Marketing Master SEO, social media marketing, paid ads, and analytics. Careers: Digital Marketing Manager, SEO Specialist, Performance Marketing Specialist.

5. BBA with E-Commerce Learn e-commerce management, logistics, FinTech, and AI tools. Careers: E-Commerce Manager, Supply Chain Analyst, Marketplace Manager.

6. MBA in E-Commerce Specialize in digital business strategy, logistics, and analytics. Careers: Digital Business Consultant, Product Manager.

Top Finance Degree Programs (2025)

1. BCom with FinTech Blend finance with technology – learn blockchain, digital banking, and financial analytics. Careers: FinTech Analyst, Investment Banking Associate, Digital Finance Consultant.

2. MBA in Digital Marketing Master branding, lead generation, performance marketing, and AI-driven customer analytics. Careers: Digital Marketing Manager, Brand Strategist, Content Marketing Specialist.

Why Choose FACE Prep Campus?

Industry-aligned curriculum with real-world projects

100% placement support

Expert mentors from top companies

80% practical training, 20% theory

Internships from the pre-final year

Globally recognized certifications

Conclusion: Future-Proof Your Career Choosing a job-oriented degree is your gateway to high-growth careers in IT, Finance, and Digital Industries. With FACE Prep Campus, you’ll be industry-ready and positioned for success in 2025 and beyond.

[nikitakudande]

Data Science Career Role In Pune.

Data Science is one of the fastest-growing career paths in Pune, offering a multitude of opportunities for professionals skilled in analytics, machine learning, and AI. With Pune's growing tech ecosystem, companies across various industries are looking for data scientists to analyze complex data, derive actionable insights, and implement predictive models. Data science professionals in Pune can expect to work with big data, cloud computing, and innovative AI-driven solutions, playing a key role in shaping business decisions. Roles range from data analyst to machine learning engineer, with high demand for expertise in Python, R, SQL, and deep learning.