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Hire the best Matplotlib Freelancers in Chandigarh, IN

Check out Matplotlib Freelancers in Chandigarh, IN with the skills you need for your next job.
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  • $25 hourly

    • 4.9/5
    • (111 jobs)
    Experienced Full Stack Python Developer With 5+ year of Experience | QA Automation | DevOps | Scraping & Automation Specialist ✅ Top-Rated Upwork Freelancer with extensive experience in Web Scraping and Automation using Python, Selenium, JavaScript, Cypress, Playwright, and more. ✅ 4000+ Successful Upwork Hours delivering robust solutions in Web Scraping, API Development with Flask, and integration of tools like 2captcha and pandas. 🔧 Technical Expertise: ✅ Cloud Platforms: AWS (Lambda, EC2, S3, DynamoDB) & Google Cloud (Cloud Run, Cloud Functions, Firestore). ✅ Backend Development: Django & Django REST Framework (DRF) for powerful REST APIs. ✅ Authentication: Djoser & Django JWT for secure user management. ✅ Asynchronous Processing: Celery & RabbitMQ for efficient background jobs. ✅ Caching: Redis for optimized performance and database operations. ✅ Microservices Architecture: Designing scalable solutions with microservices. ✅ Server Setup: NGINX, gunicorn, WSGI for efficient server deployment. ✅ Containerization: Docker & Docker Compose for streamlined development and deployment. ✅ Data Science & ML: Proficient in NumPy, Pandas, PyTorch, and data visualization. ✅ AI & Chatbots: Fine-tuning OpenAI models (GPT-3, GPT-3.5, GPT-4) and leveraging Hugging Face for generative AI. ✅ Deep Learning: Expertise in Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and more for advanced machine learning tasks.
    vsuc_fltilesrefresh_TrophyIcon Matplotlib
    Google Maps API
    Bot Development
    Machine Learning
    Django
    Data Science
    Artificial Intelligence
    MongoDB
    Scrapy
    Selenium
    Beautiful Soup
    Seaborn
    Python
    SQL
    pandas
  • $24 hourly

    • 0.0/5
    • (0 jobs)
    I'm a developer, an explorer, researcher and most importantly a teacher. My love and passion for Data Science began when I transitioned from teaching mathematics, python and then eventually data science. The more I dug deeper into this subject the more I realized that there is a whole world to explore. Working with data is fascinating, challenging and ultimately fun if you realize how much potential there is and how many problems you can solve. with extensive experience in building websites for small and medium-sized businesses, proficient in HTML, CSS, WordPress, and JavaScript. I also develop applications using Python. Additionally, I teach students of computer science subjects, specializing in AI and Python. My tutoring journey started when I was in high school and from then I realized how noble and giving it is. However, in order to become a great teacher, I needed to improve myself and explore even further. I did multiple certifications in various courses, all related to data, coding and AI. I love to take a planned approach to cater to my student's needs. Statistics for Data Science: (approximately 12-15 lectures) 1. Introduction to descriptive statistics 2. Data Sampling and Probability 3. Normal Approximation and Binomial Distribution 4. Sampling Distributions and Central Limit Theorem 5. Regression 6. Confidence Intervals and Tests of Significance 7. Resampling and Analysis of Categorical Data 8. One-Way Analysis of Variance 9. Bonus Lecture Python for Data Science (approximately 9-10 lectures) 1. Basics 2. Data Structures 3. Programming Fundamentals 4. Working with Data 5. Data Collection 6. Capstone Project Introduction to Data Science (approximately 25-30 lectures) 1. Data Science Methodology 2. Python for Data Science [see above] 3. Databases and SQL [RDBMS and Beginner to Advanced SQl] 4. Data Analysis [Data Preprocessing, EDA and Understanding Descriptive Analytics] 5. Data Visualization [Basic to Advanced Visualization, Creating Dashboards and Understanding Prescriptive Analytics] 6. Machine Learning for Data Science [Model deployment and Model Evaluation] [see below] 6. Capstone Project Machine Learning for Data Science (approximately 17-20 lectures) 1. Introduction [Concept building and Understanding Predictive Analytics] 2. Supervised Learning [Regression] 3. Unsupervised Learning [Classification] 4. Ensemble [Boosting, Bagging and Stacking] 5. Capstone Project I highly encourage you to book a trial lesson with me. I can even create a customized lesson plan if needed. My aim is to help people benefit from my knowledge and turn them into fellow Data Scientists!
    vsuc_fltilesrefresh_TrophyIcon Matplotlib
    SQL
    TensorFlow
    pandas
    NumPy
    Tutoring
    Engineering Tutoring
    Technology Tutoring
    GIMP
    JavaScript
    CSS
    HTML5
    Python Numpy FastAI
    Python
    Python Scikit-Learn
  • $5 hourly

    • 0.0/5
    • (0 jobs)
    I am data analyst experienced in data analysis ,cleaning, model building .Also proficient in java and html, css , and Javascript
    vsuc_fltilesrefresh_TrophyIcon Matplotlib
    Machine Learning Model
    Data Cleaning
    Data Collection
    NumPy
    pandas
    Java GUI
    Java
    Python
    Artificial Intelligence
    Analytical Presentation
    Data Extraction
    Machine Learning
    ETL
    Data Analysis
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