I will build machine learning, deep learning, computer vision ai


About this gig
Hi there !
Want an AI for your needs?
I am a passionate and experienced machine learning engineer with over 3 years of hands-on experience. I'm here to help you harness the power of machine learning and deep learning for your unique needs.
What I Offer:
Machine Learning Services:
- Linear Regression
- Logistic Regression
- KNN Classification
- Naive Bayes Classification
- Decision Trees
- Gradient Boosting Algorithms
Deep Learning Expertise:
- Artificial Neural Networks (ANN)
- Generative Adversarial Networks (GANs):
- DCGAN
- Pix2pix
- CycleGANs
Computer Vision Solutions:
- Image Segmentation
- Object Detection
- Hand Landmark Detection
- Pose Detection
Text Classification:
- Efficient text classification solutions.
Web Application Development:
- Streamlit:
- Develop interactive web applications to showcase your machine learning models.
️ Tools and Frameworks:
- TensorFlow
- Keras
- Scikit-Learn
- Mediapipe
- CVzone
- OpenCV
- NumPy
- Kaggle
- Google Colab
Why Choose Me?
- Experience: Over 3 years in the field with more than 40 projects.
- Expertise: Proficient in a wide range of machine learning and deep learning techniques.
- Quality: Committed to delivering high-quality and efficient solutions.
KINDLY CONTACT ME BEFORE PLACING ORDER
Get to know Pallab Ai
Young Machine learning, Deep learning and computer vision engineer
- FromIndia
- Member sinceJun 2024
Languages
Bengali, English, Hindi
My Portfolio
FAQ
Do I need to provide a dataset?
Only if I can not find any suitable dataset for your project
What if I am not satisfied with the results?
Customer satisfaction is my top priority. If you are not satisfied with the results, I offer revisions to ensure the final deliverable meets your expectations. Please provide detailed feedback so I can make the necessary adjustments.
Can you help me understand the model and its results?
Absolutely! I provide detailed explanations of the models used, the results, and their implications. I can also offer guidance on how to interpret and utilize the results effectively.
Can you integrate the model into my existing system or application?
Only if your existing application is made using streamlit

