You will get Machine Learning Developers | Data Science | Deep Learning | NLP
You will get Machine Learning Developers | Data Science | Deep Learning | NLP
Basic
Complete Machine leaning Pipeline on single algorithms or Model
- Delivery Time 3 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 2
- Model Validation/Testing
- Data Source Connectivity
- Source Code
3 days
delivery —
Oct 18, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. jitendra kumar gets paid once you are satisfied with the work.
Project details
Need Help in Machine Learning, Deep learning, Computer Vision,NLP Solutions, Visualization, Chatbot, OpenCV, Speech Recognition
We Help in these Machine Learning topics:
- Exploratory Data Visualization
- Data Cleaning and Analysis
- Data Visualization using Matplotlib
- Processing Large Datasets in Pandas
- Spark & Map-Reduce
- Natural Language Processing
- Kaggle Fundamentals
- Deep Learning: Fundamentals
- Scikit-learn
- Keras and Tensorflow
- OpenCV
- Machine Learning algorithms from scratch
- Matplotlib
- NetworkX
Methods include in Machine learning:
- Support vector machines
- linear and logistic regression
- Tree classifiers
- Boosting
- k-means
- Gaussian mixture models
Machine learning Topics include:
- Classification and regression
- Clustering methods, sequential models
- Matrix Factorization
- Modeling and model selection
-Deep Learning
- Neural Architectures and Training
- Deep learning methods
- Convolutions and the GoogLe Net
- Dimensions revisited: The Auto-encoder
- Recurrent and Combined Architectures
- Support Vector Machines
- Transfer Learning
We have a dedicated team for each skill set. Get help Right now.
We Help in these Machine Learning topics:
- Exploratory Data Visualization
- Data Cleaning and Analysis
- Data Visualization using Matplotlib
- Processing Large Datasets in Pandas
- Spark & Map-Reduce
- Natural Language Processing
- Kaggle Fundamentals
- Deep Learning: Fundamentals
- Scikit-learn
- Keras and Tensorflow
- OpenCV
- Machine Learning algorithms from scratch
- Matplotlib
- NetworkX
Methods include in Machine learning:
- Support vector machines
- linear and logistic regression
- Tree classifiers
- Boosting
- k-means
- Gaussian mixture models
Machine learning Topics include:
- Classification and regression
- Clustering methods, sequential models
- Matrix Factorization
- Modeling and model selection
-Deep Learning
- Neural Architectures and Training
- Deep learning methods
- Convolutions and the GoogLe Net
- Dimensions revisited: The Auto-encoder
- Recurrent and Combined Architectures
- Support Vector Machines
- Transfer Learning
We have a dedicated team for each skill set. Get help Right now.
What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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MC
Michael C.
May 2, 2024
Chatbot
CP
Charlie P.
Jan 9, 2024
You will get Java development services, coding help, Java developer
About jitendra kumar
Machine Learning Engineer | Data Science Specialist
50%
Job Success
Noida, India - 11:34 pm local time
I am a professional full-stack web developer with over 7 years + of industry experience, using Machine learning, Python, Django, React and Node.JS and Java for a variety of complex projects.
I have implemented custom projects using a number of Python and Java frameworks - including Django, Flask, Spring, Hibernate - for a wide range of functions, covering everything from optimization tools to corporate production management systems.
My Expertise covers:
- PYTHON
- Django Rest Framework;
- GraphQL;
- Flask
- Machine Learning with Python and R
- Java
• Artificial Intelligence / Deep Learning / Machine Learning / Natural Language Processing
- JQuery;
- TypeScript;
- Angular 2-11;
- Node.JS
• OS: Linux (Ubuntu, CentOS), Windows;
• Cloud Services: AWS, Google Cloud, Azure;
• API integration: Azure, AWS, Google Services, Dropbox, Elastic Search, Sage maker, Payments, Gateways;
• DATABASE: ORACLE, PL/SQL, PostgreSQL, MySQL, MS SQL, SQLite, MongoDB;
• DevOps:
- Provider Expertise: AWS/Azure/Google Cloud;
- DevOps methodologies, infrastructure as Code (Terraform), Kubernetes, Docker;
- Automation and Orchestration: Deployment pipelines, Gitlab, AWS Code Pipeline.
Steps for completing your project
After purchasing the project, send requirements so jitendra kumar can start the project.
Delivery time starts when jitendra kumar receives requirements from you.
jitendra kumar works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discussion
1.Requirement discussion 2.Create outline 3.Deliver first draft 4.Incorporate edits 5.Deliver final drafts