Data Scientist Opportunity!
Company: Northcorp Software
Position: Data Scientist
Skills: Machine Learning, Data Analysis, Python, Predictive Modeling
Location: Work From Home
Apply here: Click Here to Apply!
Company: Northcorp Software
Position: Data Scientist
Skills: Machine Learning, Data Analysis, Python, Predictive Modeling
Location: Work From Home
Apply here: Click Here to Apply!
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Python Backend Developer Internship Opportunity!
Company: Safe Your Web
Position: Python Backend Developer Intern
Skills: Python, Django/Flask, SQL, MongoDB
Location: Work From Home
Apply here: Click Here to Apply!
Company: Safe Your Web
Position: Python Backend Developer Intern
Skills: Python, Django/Flask, SQL, MongoDB
Location: Work From Home
Apply here: Click Here to Apply!
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Simple Guide to Becoming a Data Scientist π
1. Learn the Basics of Programming: β Python: The go-to language for data science. β R: Great for statistical analysis and data visualization.
2. Master Data Manipulation: β Pandas: For data cleaning, manipulation, and analysis in Python. β Numpy: For numerical computing and handling arrays.
3. Statistics & Mathematics: β Understand probability, distributions, and hypothesis testing. β Learn linear algebra, calculus, and optimization for machine learning.
4. Data Visualization: β Matplotlib & Seaborn: Create insightful charts and graphs. β Tableau/Power BI: For interactive data dashboards.
5. Machine Learning Algorithms: β Learn about supervised and unsupervised learning. β Understand key algorithms like regression, decision trees, and clustering.
6. Master Libraries & Tools: β Scikit-Learn: For building machine learning models. β TensorFlow/PyTorch: For deep learning projects.
7. Database Knowledge: β Learn SQL for querying structured data. β Understand NoSQL for unstructured data (e.g., MongoDB).
8. Data Wrangling & Preprocessing: β Handle missing values, normalization, and feature engineering. β Deal with outliers and imbalanced datasets.
9. Model Evaluation & Tuning: β Learn to evaluate models using cross-validation, precision, recall, etc. β Use hyperparameter tuning to improve model performance.
10. Version Control: β Use Git for tracking code and collaborating with teams.
11. Deploying Models: β Deploy your models using Flask or FastAPI. β Learn how to integrate models into web applications.
12. Big Data Tools: β Learn Hadoop or Spark for handling large datasets.
13. Stay Updated: β Follow the latest trends in AI, machine learning, and data science. β Continuously build projects to sharpen your skills.
14. Networking & Soft Skills: β Connect with other data scientists through meetups or online communities. β Develop communication skills to explain complex results to non-tech stakeholders.
Becoming a Data Scientist is an exciting and ever-evolving journey! Keep learning, experimenting, and growing. π
Want more guides like this? Give Reactions to This post!! βοΈπ€©
1. Learn the Basics of Programming: β Python: The go-to language for data science. β R: Great for statistical analysis and data visualization.
2. Master Data Manipulation: β Pandas: For data cleaning, manipulation, and analysis in Python. β Numpy: For numerical computing and handling arrays.
3. Statistics & Mathematics: β Understand probability, distributions, and hypothesis testing. β Learn linear algebra, calculus, and optimization for machine learning.
4. Data Visualization: β Matplotlib & Seaborn: Create insightful charts and graphs. β Tableau/Power BI: For interactive data dashboards.
5. Machine Learning Algorithms: β Learn about supervised and unsupervised learning. β Understand key algorithms like regression, decision trees, and clustering.
6. Master Libraries & Tools: β Scikit-Learn: For building machine learning models. β TensorFlow/PyTorch: For deep learning projects.
7. Database Knowledge: β Learn SQL for querying structured data. β Understand NoSQL for unstructured data (e.g., MongoDB).
8. Data Wrangling & Preprocessing: β Handle missing values, normalization, and feature engineering. β Deal with outliers and imbalanced datasets.
9. Model Evaluation & Tuning: β Learn to evaluate models using cross-validation, precision, recall, etc. β Use hyperparameter tuning to improve model performance.
10. Version Control: β Use Git for tracking code and collaborating with teams.
11. Deploying Models: β Deploy your models using Flask or FastAPI. β Learn how to integrate models into web applications.
12. Big Data Tools: β Learn Hadoop or Spark for handling large datasets.
13. Stay Updated: β Follow the latest trends in AI, machine learning, and data science. β Continuously build projects to sharpen your skills.
14. Networking & Soft Skills: β Connect with other data scientists through meetups or online communities. β Develop communication skills to explain complex results to non-tech stakeholders.
Becoming a Data Scientist is an exciting and ever-evolving journey! Keep learning, experimenting, and growing. π
Want more guides like this? Give Reactions to This post!! βοΈπ€©
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Python Developer Internship Opportunity!
Company: Kukbit SL
Position: Python Developer Intern
Skills: Python, Django, HTML, CSS, JavaScript
Location: Work From Home
Perks: Certificate, Letter of Recommendation, Flexible Work Hours
Apply here: Click Here To Apply!
Company: Kukbit SL
Position: Python Developer Intern
Skills: Python, Django, HTML, CSS, JavaScript
Location: Work From Home
Perks: Certificate, Letter of Recommendation, Flexible Work Hours
Apply here: Click Here To Apply!
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Data Science Internship Opportunity!
Company: Procter & Gamble (P&G)
Position: Data Science Intern
Skills: Python, SQL, Machine Learning, Statistical Modeling
Duration: 3 months (Full-Time)
Working Days: 5 Days a Week
Perks: Real-life projects and responsibilities from Day 1, Flexible work schedule, Work/life balance support
Apply here: Click Here to Apply!
Company: Procter & Gamble (P&G)
Position: Data Science Intern
Skills: Python, SQL, Machine Learning, Statistical Modeling
Duration: 3 months (Full-Time)
Working Days: 5 Days a Week
Perks: Real-life projects and responsibilities from Day 1, Flexible work schedule, Work/life balance support
Apply here: Click Here to Apply!
AI Developer Internship Opportunity!
Company: Basal Analytics
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, MLOps, Video Analytics
Location: Work From Home
Experience: No prior experience required
Duration: 4 months (Full-Time)
Stipend: βΉ10,000 β βΉ12,000 per month
Perks: Job Offer, Certificate of Completion, Letter of Recommendation, Learning Allowance, Flexible Hours, Counselling Support
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Company: Basal Analytics
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, MLOps, Video Analytics
Location: Work From Home
Experience: No prior experience required
Duration: 4 months (Full-Time)
Stipend: βΉ10,000 β βΉ12,000 per month
Perks: Job Offer, Certificate of Completion, Letter of Recommendation, Learning Allowance, Flexible Hours, Counselling Support
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Company: Swiggy
Position: Associate Software Development Engineer - iOS
Skills: Swift, SwiftUI, iOS SDK, Object-Oriented Programming
Location: Work From Home
Experience: 0 to 2 years
Working Days: 5 Days a Week
Apply here: Click Here To Apply!
Position: Associate Software Development Engineer - iOS
Skills: Swift, SwiftUI, iOS SDK, Object-Oriented Programming
Location: Work From Home
Experience: 0 to 2 years
Working Days: 5 Days a Week
Apply here: Click Here To Apply!
Company: Basal Analytics
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, Video Analytics, MLOps
Location: Work From Home
Experience: No prior experience required
Apply here: Click Here to Apply!
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, Video Analytics, MLOps
Location: Work From Home
Experience: No prior experience required
Apply here: Click Here to Apply!
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Company: Happieloop Technologies
Position: Full Stack Developer Intern
Skills: HTML, CSS, JavaScript, Web Development Frameworks, Database Management, CMS
Location: Work From Home
Working Days: 5 Days a Week
Perks: Certificate of Completion, Letter of Recommendation, Flexible Hours
Apply here: Click here to Apply!
Position: Full Stack Developer Intern
Skills: HTML, CSS, JavaScript, Web Development Frameworks, Database Management, CMS
Location: Work From Home
Working Days: 5 Days a Week
Perks: Certificate of Completion, Letter of Recommendation, Flexible Hours
Apply here: Click here to Apply!
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Company: LearnNex
Position: Data Science Intern
Skills: Data Analysis, Data Visualization, Machine Learning, Collaboration
Location: Work From Home
Experience: No prior experience required
Duration: 2 months
Working Days: 5 Days a Week
Apply here: http://tiny.cc/dsintern
Position: Data Science Intern
Skills: Data Analysis, Data Visualization, Machine Learning, Collaboration
Location: Work From Home
Experience: No prior experience required
Duration: 2 months
Working Days: 5 Days a Week
Apply here: http://tiny.cc/dsintern
Please share this reel to your friends who may find this information valuable π«
Video link on Instagram π
https://www.instagram.com/reel/DAFMrilgOlf/
Collection of Projects Link π
https://github.com/avinashkranjan/Amazing-Python-Scripts/
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Video link on Instagram π
https://www.instagram.com/reel/DAFMrilgOlf/
Collection of Projects Link π
https://github.com/avinashkranjan/Amazing-Python-Scripts/
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Company: Internship Mela
Position: Python Intern
Skills: HTML, CSS, Python, Django, Frontend Development, Backend Development
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Position: Python Intern
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Stipend: βΉ12,000 - βΉ15,000 per month
Duration: Part Time
Working Days: 5 Days a Week
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Please share this reel to your friends who may find this information valuable π«
Video link on Instagram π
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Video link on Instagram π
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QuickRef.ME
QuickRef.ME - Quick Reference Cheat Sheet
Share quick reference and cheat sheet for developers
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Sharing NumPy Notes Today! React to this post to let me know you're interested! β¨π
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1. Code with Harry π: This playlist covers a complete web development course, known as the Sigma Web Development Course. β
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5. Code Basics π: This playlist covers data science from beginner to advanced levels, with clear explanations. β
Link: https://youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV&si=P9Mw4m36KrcU7e74
6. 5 Minutes Engineering π: This playlist provides an introduction to machine learning (IML) course. β
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Company: Fractal31 Private Limited
Position: GENAI Engineer
Skills: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, Generative Models (GANs, VAEs, transformers)
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AI Developer Internship Opportunity!
Company: Basal Analytics
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, MLOps, Video Analytics
Location: Work From Home
Experience: No prior experience required
Duration: 4 months
Stipend: βΉ10,000 β βΉ12,000 per month
Perks: Job Offer, Certificate of Completion, Letter of Recommendation, Learning Allowance, Flexible Hours, Counselling Support
Apply here: Click Here to Apply!
Company: Basal Analytics
Position: AI Developer Intern
Skills: Python, PyTorch, TensorFlow, LLMs, Computer Vision, MLOps, Video Analytics
Location: Work From Home
Experience: No prior experience required
Duration: 4 months
Stipend: βΉ10,000 β βΉ12,000 per month
Perks: Job Offer, Certificate of Completion, Letter of Recommendation, Learning Allowance, Flexible Hours, Counselling Support
Apply here: Click Here to Apply!
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