You will get machine learning deep learning projects
Project details
With over 4 years of experience in deep learning and machine learning, I offer expert solutions that are 100% accurate and delivered on time. As a seasoned professional, I have honed my skills in developing cutting-edge models, implementing advanced algorithms, and delivering impactful results. Whether it's computer vision, natural language processing, or predictive analytics, I bring a deep understanding of the field and a track record of success. Trust me to handle your project with precision, ensuring exceptional outcomes that meet your requirements. Let's collaborate and achieve excellence together.
Machine Learning Tools
Google Sheets, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, R, SAS, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
Number of Graphs/Charts | 5 | 0 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - |
About Taha
Data Science |Deep learning| Machine Learning and Python Expert
Taxila, Pakistan - 4:28 am local time
1. Machine Learning| Deep Learning | Natural Language Processing (NLP),
2. Data Analytics| Data Preprocessing
3. Visualization| Automation
I am adept at utilizing these skills to assist in making data-driven decisions. If you require any assistance in these areas, I would be delighted to explore how I can be of help to you. Please feel free to reach out and discuss your specific requirements.
Steps for completing your project
After purchasing the project, send requirements so Taha can start the project.
Delivery time starts when Taha receives requirements from you.
Taha works on your project following the steps below.
Revisions may occur after the delivery date.
Pre-Processing
in this step we will do image enhancement, normalization also data remove redundancy/normalization
Spliting dataset
in this step we divide the dataset into testing training and validation