You will get machine learning and deep learning projects using python
Project details
Hey, I have a bachelors degree and over 2+ years of experience as an ML EnginerI. Also, I possess various Deep Learning credentials and a strong understanding of the field. I specialize in traditional and deep learning solutions for a wide range of modalities, from tabular data to images and texts.
There are some sellers that offer data analysis and visualization as additional services. But I offer a complete ML project lifecycle workflow, from feature engineering, EDA, model development, and evaluation.
Problem types:
Tabular
Regression, Classification, Clustering
Computer Vision
Binary/Multi Class classification
Object detection
Face Verification
Segmentation
Generative AI
NLP
Text/sentiment classification
Text summarization
Name entity recognition
Prompt fine-tuning
Recommendation System
Forecasting
Algorithms:
XGBoost, Random Forest, SVM, CNNs, LSTM, GRU, YOLO, Faster/MASK RCNN, Transformers, SwinTransfomer and Attentions Model
Frameworks:
Scikit learn, Keras, Tensorflow, PyTorch, PyLightning, MMCV, MONAI
I will complete the tasks on time and with high quality!
Please contact me to discuss your requirement.
There are some sellers that offer data analysis and visualization as additional services. But I offer a complete ML project lifecycle workflow, from feature engineering, EDA, model development, and evaluation.
Problem types:
Tabular
Regression, Classification, Clustering
Computer Vision
Binary/Multi Class classification
Object detection
Face Verification
Segmentation
Generative AI
NLP
Text/sentiment classification
Text summarization
Name entity recognition
Prompt fine-tuning
Recommendation System
Forecasting
Algorithms:
XGBoost, Random Forest, SVM, CNNs, LSTM, GRU, YOLO, Faster/MASK RCNN, Transformers, SwinTransfomer and Attentions Model
Frameworks:
Scikit learn, Keras, Tensorflow, PyTorch, PyLightning, MMCV, MONAI
I will complete the tasks on time and with high quality!
Please contact me to discuss your requirement.
Machine Learning Tools
ChatGPT, GPT-3, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Stata, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$110
|
Standard
$220
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Graphs/Charts | 4 | 6 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
About Nazeer
AI Engineer|Machine Learning, Deep Learning & Computer Vision Expert
Rajanpur, Pakistan - 12:24 am local time
Projects:
→Streamlit app Tamato Disease Detection
→ Hugging face LLM models merging
→ E-commerce website Recommendation system
→Collaboration in a Gig Economy Model
→ Snowflake Streamlit app
→AI modelling and sentiment analysis
→ German Invoice Data Extraction
→ Skin Cancer Detection
→ Streamlit app serving sci-kit
→ Number Plate Detection
→ Image Reconstruction
→Smart Home Security Surveillance System final year project
→ Human Fall Detection
→ Statistical analysis for soccer data
Language:
Python
Frameworks:
→ Tensorflow
→ Keras
→ Pytorch
Libraries:
→ OpenCV
→ Matplotlib
→ Pandas
→ Numpy
→ Scikit Learn
→ PIL
→ Tesseract/easyOCR/PaddleOCR
Techniques:
→ EDA and Pre-Processing of Dataset (Structured/Unstructured)
→ Transfer Learning of state-of-the-art models
→ Model Fine Tuning
→ Machine Learning (SVM, KNN, Regressions, Decision Trees, Random Forest, Ensemble, Time Series)
→ Deep Learning (ANN, CNN, YOLO, LSTMs, RNN)
→ OCRs (EasyOCR, PaddleOCR, GoogleOCR, Tesseract)
→ Image Generative models (Inpainting, Diffusion models, Dall-E, StyleGAN)
→ Text-to-speech and speech-to-text models in many languages.
→ LLM models(Langchain, LLama, BERT, OpenAI API integration, Prompt Engineering, GPT fine-tuning, Gemini, Mistral, RAG)
→ NLP (Spacy, NLTK, NER, word2Vec, TF/IDF)
Tools:
→ Anaconda
→ Docker
→ GitHub
Cloud Services:
→ GCP (Vertex AI, BigQuery, AutoML, DialogueFlow, Apache Beam)
→ AWS (S3 Bucket, Sagemaker, EC2)
API creation:
→ Flask API
→ FastAPI
→ GPT store
UI creation:
→ StreamLit
→ HTML/CSS
Database:
→ Vector Database (PineCone)
→ SQL (MySQL)
CLI:
→ Windows
→ Linux
Steps for completing your project
After purchasing the project, send requirements so Nazeer can start the project.
Delivery time starts when Nazeer receives requirements from you.
Nazeer works on your project following the steps below.
Revisions may occur after the delivery date.
Get requirments and start the work
Get requirments and start the work on that project. And i will deliver high quality Work.